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Gobi D - Apache developerLD Talent logo

Gobi D

The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.

The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.

If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Engineering Manager and PM Preferred Title
$180.00 /hr $ 170.0K /yr Hourly Rate and Yearly Salary
Overview Vetting Experiences LD Experiences Qualifications Reviews
Overview
Basic Summary
LD Talent History
  • Worksession Approval 100.0%
  • Average Response Time 4.5 hours
  • Average Count of Messages/Day 29.2
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 20h PST, 8h UTC
  • Projects Worked in Last 2 Weeks 1
  • Hours Worked in Last 2 Weeks 1.0
  • Earned Hours 850.00
Vetting Summary
  • Code Quality 60%
  • Soft Skill Attributes 60%
  • Expertise 2/3
  • Coding Challenges 60%
  • No. of Lifelong Learning Projects 2
  • No. of Coding Challenges Completed 2
    • More details
Talent's Devices
  • Desktop Mac
  • Phone Android
  • Tablet iPad
General
  • Member Since Jan 20, 2023
  • Profile Last Updated Oct 04, 2024
  • Last Activity Dec. 5, 2024, 3:20 p.m. UTC
  • Location United States of America
Profile Summary
Hi I'm Gobi. My skills include management, startups, full stack dev, AI / ML, HCI / ICT4D, and travel (45 countries, 41 states, and counting). I finished Stanford CS in two years to be a digital nomad. Then I did my masters in HCI+AI at Stanford. My PhD from Northwestern is in CS Education. All this inspired me to create LD Talent. I help LD's clients plan, hire for, manage, and QA their projects, working with talent in the $20-30/h range. With me, you'll get high-quality at a reasonable cost.
Skills
Total Experience: 14 years

  • Apache (11Y)

    11 years of experience

  • AWS CLI (11Y)

    11 years of experience

  • Nginx (11Y)

    11 years of experience

  • OAuth (12Y)

    12 years of experience

  • Permissions (11Y)

    11 years of experience

  • Shell (11Y)

    11 years of experience

  • Shell Scripts (11Y)

    11 years of experience

  • Python Selenium (3E, 11Y)

    3 experiences, across 11 years

  • Heroku (11Y)

    11 years of experience

  • Selenium (11Y)

    11 years of experience

  • Html Parsing (11Y)

    11 years of experience

  • Beautifulsoup (11Y)

    11 years of experience

  • Zapier (11Y)

    11 years of experience

  • localStorage (11Y)

    11 years of experience

  • jQuery (2E, 10Y)

    2 experiences, across 10 years

  • Django (3E, 10Y)

    3 experiences, across 10 years

  • JavaScript (3E, 10Y)

    3 experiences, across 10 years

  • Python (5E, 11Y)

    5 experiences, across 11 years

  • Abstract Syntax Trees AST (3E, 9Y)

    3 experiences, across 9 years

  • Github (2E, 9Y)

    2 experiences, across 9 years

  • Coding Standards (9Y)

    9 years of experience

  • Coding Style (9Y)

    9 years of experience

  • Cron (9Y)

    9 years of experience

  • Decorator Pattern (9Y)

    9 years of experience

  • CSS (4E, 10Y)

    4 experiences, across 10 years

  • ExpressJS (2E, 9Y)

    2 experiences, across 9 years

  • Nodejs (2E, 9Y)

    2 experiences, across 9 years

  • Product Management (3E, 7Y, 1C)

    3 experiences, across 7 years, with 1 course

  • Slack API (7Y)

    7 years of experience

  • AWS Elastic Beanstalk (2E, 7Y)

    2 experiences, across 7 years

  • DevOps (2E, 7Y)

    2 experiences, across 7 years

  • SEO (4E, 7Y)

    4 experiences, across 7 years

  • Google Ads (7Y)

    7 years of experience

  • Google Search Console (7Y)

    7 years of experience

  • Google Analytics (2E, 7Y)

    2 experiences, across 7 years

  • Hotjar (2E, 7Y)

    2 experiences, across 7 years

  • XML (7Y)

    7 years of experience

  • Yoast (7Y)

    7 years of experience

  • Google Tag Manager (2E, 7Y)

    2 experiences, across 7 years

  • Yaml (7Y)

    7 years of experience

  • Continuous Integration (7Y)

    7 years of experience

  • AWS (2E, 11Y)

    2 experiences, across 11 years

  • AWS CodeDeploy (7Y)

    7 years of experience

  • AWS CodePipeline (7Y)

    7 years of experience

  • Cors (7Y)

    7 years of experience

  • Csrf (7Y)

    7 years of experience

  • Chatbots (7Y)

    7 years of experience

  • Cross Browser Support (7Y)

    7 years of experience

  • App Store Connect (2E, 7Y)

    2 experiences, across 7 years

  • App Store (2E, 7Y)

    2 experiences, across 7 years

  • Css Transitions (2E, 8Y)

    2 experiences, across 8 years

  • Code Reviews (2E, 8Y)

    2 experiences, across 8 years

  • CSS Themes (2E, 8Y)

    2 experiences, across 8 years

  • Design Patterns (7Y, 1C)

    7 years of experience, with 1 course

  • Typescript (7Y)

    7 years of experience

  • Mixin Pattern (7Y, 1C)

    7 years of experience, with 1 course

  • Visual Studio VS Code (7Y)

    7 years of experience

  • MVC (7Y)

    7 years of experience

  • VS Code Extension Development (7Y)

    7 years of experience

  • Arrow Functions (7Y)

    7 years of experience

  • Yarn (7Y)

    7 years of experience

  • Design Research (7Y, 2C)

    7 years of experience, with 2 courses

  • React (7Y)

    7 years of experience

  • Chrome Extension Development (7Y)

    7 years of experience

  • CSS Flex (7Y)

    7 years of experience

  • CSS Animations (7Y)

    7 years of experience

  • Css Selectors (7Y)

    7 years of experience

  • CSS Layout Patterns (7Y, 1C)

    7 years of experience, with 1 course

  • Google Chrome Devtools (7Y, 1C)

    7 years of experience, with 1 course

  • Google web.dev patterns (7Y)

    7 years of experience

  • Media Queries (7Y)

    7 years of experience

  • UX Design (6Y, 2C)

    6 years of experience, with 2 courses

  • PHP (3E, 7Y)

    3 experiences, across 7 years

  • Computer vision (4E, 6Y, 2C)

    4 experiences, across 6 years, with 2 courses

  • Django REST Framework (2E, 5Y)

    2 experiences, across 5 years

  • Electron (5Y)

    5 years of experience

  • Auth0 (5Y)

    5 years of experience

  • Caching (5Y)

    5 years of experience

  • Google Lighthouse (5Y)

    5 years of experience

  • Amazon Route 53 (5Y)

    5 years of experience

  • PageSpeed (5Y)

    5 years of experience

  • Mac Application Development (5Y)

    5 years of experience

  • Minification (5Y)

    5 years of experience

  • Artificial intelligence (5E, 6Y, 1C)

    5 experiences, across 6 years, with 1 course

  • Wordpress (2E, 8Y)

    2 experiences, across 8 years

  • Project Management (2E, 6Y)

    2 experiences, across 6 years

  • Google Play Services (4Y)

    4 years of experience

  • Json (4Y)

    4 years of experience

  • SQLite (4Y)

    4 years of experience

  • Moodle (3Y)

    3 years of experience

  • Moodle Api (3Y)

    3 years of experience

  • Timers (3Y)

    3 years of experience

  • Wordpress Plugins (3Y)

    3 years of experience

  • Foreign Keys (3Y)

    3 years of experience

  • Migrations (3Y)

    3 years of experience

  • Facebook API (4E, 3Y)

    4 experiences, across 3 years

  • HIPAA Cloud Compliance (3Y)

    3 years of experience

  • Content Management System (3Y)

    3 years of experience

  • Frontend (3E, 4Y)

    3 experiences, across 4 years

  • Open AI (9E, 3Y)

    9 experiences, across 3 years

  • Email Marketing (2Y)

    2 years of experience

  • Linters (2Y)

    2 years of experience

  • Probability Theory (3Y)

    3 years of experience

  • Mathematical Foundations Of Computing (3Y)

    3 years of experience

  • Search Algorithms (3Y)

    3 years of experience

  • Probability (3Y, 2C)

    3 years of experience, with 2 courses

  • Probability Distributions (3Y)

    3 years of experience

  • Discrete Mathematics (3Y)

    3 years of experience

  • Flutter (2Y)

    2 years of experience

  • Firebase (2Y)

    2 years of experience

  • JIRA (2Y)

    2 years of experience

  • Dart (2Y)

    2 years of experience

  • Cocoapods (2Y)

    2 years of experience

  • Firestore (2Y)

    2 years of experience

  • HTML (2E, 13Y)

    2 experiences, across 13 years

  • MySQL (2Y)

    2 years of experience

  • Objective C (2Y)

    2 years of experience

  • REST (7Y)

    7 years of experience

  • Rest Api (2Y)

    2 years of experience

  • HTTP (2Y)

    2 years of experience

  • Ios Simulator (2Y)

    2 years of experience

  • iOS native app development (2Y)

    2 years of experience

  • Apple Push Notifications (2Y)

    2 years of experience

  • Notifications (2Y)

    2 years of experience

  • Push Notifications (2Y)

    2 years of experience

  • Prompt Engineering (3E, 2Y)

    3 experiences, across 2 years

  • Transformer (3E, 2Y)

    3 experiences, across 2 years

  • Machine learning (3E, 2Y, 1C)

    3 experiences, across 2 years, with 1 course

  • Natural language processing (3E, 2Y, 1C)

    3 experiences, across 2 years, with 1 course

  • Jwt (2Y)

    2 years of experience

  • MongoDB (2Y)

    2 years of experience

  • Mongoose (2Y)

    2 years of experience

  • NoSQL (2Y)

    2 years of experience

  • Artificial Satellite

  • Open AI GPT-3

  • Pandas

  • ML Embeddings (3E)

    3 experiences

  • Word Embeddings

  • C++ (2E, 2Y, 2C)

    2 experiences, across 2 years, with 2 courses

  • AJAX (2E, 2Y)

    2 experiences, across 2 years

  • Google Apps Script (2Y)

    2 years of experience

  • Jquery Mobile (2Y)

    2 years of experience

  • Cordova (2Y)

    2 years of experience

  • Android Emulator (2Y)

    2 years of experience

  • Appery.io (2Y)

    2 years of experience

  • Svm

  • Supervised Learning

  • Bloomberg

  • Sentiment Analysis

  • Convolutional Neural Networks (2E, 2Y, 1C)

    2 experiences, across 2 years, with 1 course

  • Google Cloud (2E, 2Y)

    2 experiences, across 2 years

  • Flask

  • Grid

  • Handlebars.Js

  • Homebrew

  • Google Oauth

  • Jade

  • RAG (2E, 11Y)

    2 experiences, across 11 years

  • OpenAI Assistants (2E)

    2 experiences

  • Web scrapers

  • Data Science

  • Webdriver

  • Computer Vision (Theory)

  • Generative Adversarial Networks

  • PyTorch

  • Tensorflow (2Y)

    2 years of experience

  • Deep learning (2E, 2Y, 2C)

    2 experiences, across 2 years, with 2 courses

  • Data Preprocessing (2Y)

    2 years of experience

  • Java (11Y, 2C)

    11 years of experience, with 2 courses

  • Data Analytics

  • Twitter APIs

  • Adobe Illustrator

  • Telescope

  • Introductory Astronomy (1C)

    1 course

  • Perl

  • Curl

  • Dom

  • Dom Events

  • Flash

  • HTML Audio and Video Media

  • Lazy Loading

  • Phpmyadmin

  • Human Computer Interaction Hci (3C)

    3 courses

  • Postgres

  • Postgresql

  • Relational Database

  • Recurrent Neural Networks

  • LSTM

  • Gpu

  • Markov Decision Processes

  • Q Learning

  • Deep Q Learning

  • Reinforcement learning (1C)

    1 course

  • Quality Assurance QA

  • Meta Tags

  • Robots.Txt

  • Sitemaps

  • Quality Assurance

  • Schema.Org

  • Bootstrap

  • Bootstrap Modal

  • CRUD

  • Css Position

  • Database Design

  • Datatypes

  • Creativity And Innovation (2C)

    2 courses

  • Disruptive Innovation (1C)

    1 course

  • Innovation (2C)

    2 courses

  • Innovators Dilemma (1C)

    1 course

  • How Learning Works (1C)

    1 course

  • Qualitative Research Methods (1C)

    1 course

  • World Architecture (1C)

    1 course

  • Branding Design (1C)

    1 course

  • Branding II (1C)

    1 course

  • Branding I (1C)

    1 course

  • Science Education (1C)

    1 course

  • Education Technology (2C)

    2 courses

  • Communication (1C)

    1 course

  • Knowledge Representation II (1C)

    1 course

  • Open Source (1C)

    1 course

  • Learning Sciences (2C)

    2 courses

  • Turtle Logo (1C)

    1 course

  • UX Research (1C)

    1 course

  • Css Float (1C)

    1 course

  • Hci Design And Research (1C)

    1 course

  • Design Of Learning Environments (1C)

    1 course

  • Design Of Learning Experience (1C)

    1 course

  • Interaction Design (1C)

    1 course

  • Data mining (2C)

    2 courses

  • Power BI (1C)

    1 course

  • R for Statistics (1C)

    1 course

  • Methods (1C)

    1 course

  • Psychology Research Methods (1C)

    1 course

  • Convolution (1C)

    1 course

  • Probabilistic graphical models (2C)

    2 courses

  • Probability Or Statistics (2C)

    2 courses

  • Linear Algebra (2C)

    2 courses

  • Robotics (2C)

    2 courses

  • Robotics (Theory) (2C)

    2 courses

  • Positive Psychology (1C)

    1 course

  • Negotiation (1C)

    1 course

  • Social Entrepreneurship (6C)

    6 courses

  • Business (3C)

    3 courses

  • Graph Theory And Combinatorics (1C)

    1 course

  • Combinatorics (1C)

    1 course

  • Statistics (1C)

    1 course

  • Google Chrome (1C)

    1 course

  • UI Design (2C)

    2 courses

  • AI Ethics (1C)

    1 course

  • Writing (1C)

    1 course

  • Film (1C)

    1 course

  • Energy (1C)

    1 course

  • Jvm (1C)

    1 course

  • Macros (1C)

    1 course

  • Electronic Health Records (2C)

    2 courses

  • Electric Circuits (1C)

    1 course

  • Inline Function Calls (1C)

    1 course

  • Algorithms (1C)

    1 course

  • Computer Graphics (1C)

    1 course

  • Graphics Transformations (1C)

    1 course

  • Graphics Programming (1C)

    1 course

  • Operator Overloading (1C)

    1 course

  • MacOS (1C)

    1 course

  • Global Variables (2C)

    2 courses

  • Global Scope (2C)

    2 courses

  • Logging (1C)

    1 course

  • Theory Of Probability (1C)

    1 course

  • Conditional Probability (1C)

    1 course

  • Google Maps (1C)

    1 course

  • Water Resources (1C)

    1 course

  • Watersheds (1C)

    1 course

  • Computational Linguistics (1C)

    1 course

  • Email Address Validation (1C)

    1 course

  • Computational Logic (1C)

    1 course

  • Assembly (1C)

    1 course

  • C (1C)

    1 course

  • Command Line Interface (1C)

    1 course

  • Functional Programming (1C)

    1 course

  • Cultural Anthropology (1C)

    1 course

  • Anthropological Methods (1C)

    1 course

  • Object Oriented Design (1C)

    1 course

  • OOP (1C)

    1 course

  • Introductory Computer Science (2C)

    2 courses

  • JS function apply (1C)

    1 course

  • JS this keyword (1C)

    1 course

  • Intro Mechanics E&M Light&Heat Modern (4C)

    4 courses

  • Engineering Thermodynamics (1C)

    1 course

  • Thermodynamics (1C)

    1 course

  • Political Science Ethics And Justice (1C)

    1 course

  • Calculus (1C)

    1 course

  • Precalculus (1C)

    1 course

  • Literature (1C)

    1 course

  • Grammar (1C)

    1 course

  • Constructor (1C)

    1 course

  • Object Oriented Programming (1C)

    1 course

  • J2EE (1C)

    1 course

  • Class Design (1C)

    1 course

  • Gui (1C)

    1 course

  • History (2C)

    2 courses

  • Introductory Biology (1C)

    1 course

  • Special Relativity (1C)

    1 course

  • Strategic Thinking I (1C)

    1 course

  • Strategic Leadership (1C)

    1 course

  • Strategic Management (1C)

    1 course

  • Strategic Thinking II (1C)

    1 course

  • Decision Making (1C)

    1 course

  • Gmail Add-ons (1C)

    1 course

  • Product Market Fit (2C)

    2 courses

  • Lean Development (1C)

    1 course

  • Organizational Culture (1C)

    1 course

  • Introductory Psychiatry (4C)

    4 courses

  • Storybook (1C)

    1 course

  • Variable Naming (1C)

    1 course

  • Refactoring (1C)

    1 course

  • Data Binding (1C)

    1 course

  • Virtualenv (1C)

    1 course

  • UML Diagrams (1C)

    1 course

  • Pagination (1C)

    1 course

  • Url Routing (1C)

    1 course

  • Client Server (1C)

    1 course

  • Multiple Inheritance (1C)

    1 course

  • Closure (1C)

    1 course

  • Client Server Pattern (1C)

    1 course

  • Event-driven Architecture EDA (1C)

    1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 20h PST, 8h UTC
Day
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
20 - 23
20 - 23
20 - 23
20 - 23
19 - 23
19 - 23
PST
12 - 15
12 - 15
12 - 15
12 - 15
11 - 15
11 - 15
Vetting
  • Interview Data
  • Agile Development Process
  • Productivity and Responsiveness
  • Teamwork
  • Software Engineering
  • Logical Thinking
  • Technical Strength
  • Intellectual Merit
  • English Communication
  • Documentation
  • System Design
  • Coding Challenges
    60%
  • Algorithms Score
    60%
  • General Score
    60%
  • Easy Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Medium Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Hard Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Expertise
    2/3
  • Design Patterns and Architectures
    2/3
  • Debugging
    2/3
  • Stack Traces
    2/3
  • Testing
    2/3
  • System Administration
    2/3
  • Soft Skill Attributes
    60%
  • Entrepreneurial
    60%
  • Whole Brained
    60%
  • Divergent Thinking / Creativity
    60%
  • Design Ability
    60%
  • Empathy
    60%
  • Project Management Ability
    60%
  • Security
    60%
  • Code Quality
    60%
  • Complex Logic
    60%
  • Models
    60%
  • Controllers
    60%
  • Templates
    60%
  • APIs
    60%
  • Training/Testing Data Models
    60%
  • Code Readability
    60%
  • Ongoing Evaluation
  • Number of Lifelong Learning Project
    2
  • Number of Coding Challenge Completed
    3
  • Lifelong Learning Project 1
  • Lifelong Learning Project 1
  • Coding Challenges 1
  • Coding Challenges 2
  • Coding Challenges 3
Experience
Developer
Passion Project
Aug 2016 - Present
AST Guard Rails Company
Technology Industry
Project: autoinfra
  • Github
  • Python
  • Coding Style
  • Cron
  • Abstract Syntax Trees AST
  • Decorator Pattern
  • Coding Standards
  • Developed an opinionated style guide called "projectschecker" to be used in both internal and client projects.
  • Worked on an ultra-strict opinionated style guide enforcer that can help novice remote engineers produce professional code. Abstract Syntax Trees AST were used for enforcement and checking.
  • The Github wiki style guide covered Coding Standards and Coding Style for various languages and frameworks including Python and Django. Leveraged the decorator pattern in django for rate limiting.
  • Topics covered included the file system, models, admin, serializers, views, urls, tests, crons, logging, imports, frontend code, bootstrap grids, minification, linting, and security rules.
  • Revived this to automate PM consulting work esp. for legacy codebases. Automated pre-commit hooks with linters, test runners, best practice prompts, AI grammar/doc checks, tooling, etc.
Github Links
  • https://github.com/gobid/gdasu-hci-research/blob/master/Masters%20Project%20-%20AST%20Guard%20Rails%20-%20v4.pdf
Cloud Engineer
Employment
Jun 2020 - Present
LD Talent Company
Technology Industry
Project: Sitespeed Optimization
  • AWS Elastic Beanstalk
  • Google Lighthouse
  • Minification
  • Django
  • Amazon Route 53
  • PageSpeed
  • Caching
  • Configured the site DNS using Amazon Route 53 and analyzed AWS Elastic Beanstalk logs to figure out how to speed up various pages.
  • Debugged what is taking time using Google Pagespeed and Google Lighthouse. Leveraged Caching of search result details to speed up some pages.
  • Researched ways that one can make Django pages load faster. This work is still in progress.
  • Developed a site minification strategy along with one other developer to rename variables and condense code for the purposes of both security and sitespeed.
Website Links
  • http://ldtalentwork.com
Front End Developer
Employment
May 2018 - Present
LD Talent Company
Technology Industry
Project: Frontend Setups
  • Csrf
  • Hotjar
  • Cross Browser Support
  • Google Analytics
  • Google Tag Manager
  • Cors
  • Chatbots
  • Configured the frontend codebase of LD Talent so that dozens of developers could work on the codebase at once.
  • Handled Cors and CSRF issues. Setup Zendesk Chatbots and Hotjar Feedback widgets. Setup Google Analytics and Google Tag Manager tracking.
  • Chose the right frontend frameworks for cross browser support.
PhD Researcher
Employment
Sep 2018 - Present
Northwestern University Company
Education Industry
Project: Scaffolded Exercises
  • Arrow Functions
  • Nodejs
  • Abstract Syntax Trees AST
  • React
  • ExpressJS
  • Yarn
  • Design Research
  • Conducted design research to develop a tool to help intermediate level developers learn about Javascript data value transformations from professional examples
  • Led a team of four undergraduate researchers to develop the Abstract Syntax Trees AST based technology to parse a professional codebase.
  • We leveraged a technique called reverse call stack sequencing, which starts with exercises around variables affecting the visually intuitive DOM, and proceeds deeper in the call stack.
  • I modified the exercise generation algorithm leveraging the JS run log.
  • Leveraged ExpressJS / Nodejs on the backend and React on the frontend to serve the exercises, using yarn for installations. Leveraged Arrow Functions (a shorthand syntax) in the React code.
Github Links
  • https://github.com/gobid/scaffolded-exercises
  • https://github.com/gobid/scaffolded-exercises-interface
Product Manager
Passion Project
Jun 2020 - Present
Thea Company
Healthcare Industry
Project: Mental Health Focused Pomodoro Timer
  • Auth0
  • App Store
  • Mac Application Development
  • Django REST Framework
  • Electron
  • App Store Connect
  • Computer vision
  • Conducted needfinding, ideation, market analysis, prototyping, and iteration leading a team of a designer and developer to do Mac Application Development.
  • Built out the software and content for Thea, a mental health focused pomodoro application. We leveraged Django REST Framework on the backend hosted on Heroku.
  • We build the frontend in Electron. I conducted code reviews. I also worked significantly on the App Store Connect deploys. We also learned about how to deploy Windows Store Apps.
  • We leveraged an open source library to conduct computer vision for posture detection. We leveraged auth0 to enable a login via Google.
  • Thea provides psychiatrically relevant content, therapy worksheets, yoga, meditation, inspirational quotes, and other healthy activities during pomodoro breaks to brighten up a remote worker's day.
Website Links
  • https://aibuddy-475.herokuapp.com/
PhD Researcher
Employment
Sep 2018 - Present
Northwestern University Company
Education Industry
Project: Knowledge Maps
  • CSS Animations
  • CSS Layout Patterns
  • Media Queries
  • CSS Flex
  • Css Selectors
  • Css Transitions
  • CSS Themes
  • Conducted design research to develop a tool to help novice developers learn about granular CSS techniques from professional examples.
  • We covered a variety of techniques such as CSS Layout Patterns such as CSS Flex, CSS Animations, CSS Transitions, CSS Selectors, CSS Themes, and Media Queries.
  • Led a team of four undergraduate researchers to develop the process management tool that guides learners to repeatedly group, tinker with, compare, and contrast professional examples and their code.
  • Leveraged React on the frontend to build the cycles of grouping and comparison activities.
Website Links
  • https://github.com/gobid/km-css-techniques
Devops Engineer
Contract
May 2018 - Present
Devops and Continuous Integration for LD Talent Company
Technology Industry
Project: Devops Engineering for Platform
  • Github
  • AWS CodePipeline
  • AWS
  • Yaml
  • AWS CodeDeploy
  • DevOps
  • Continuous Integration
  • Setup a DevOps / Continuous Integration pipeline using Yaml configuration files to automatically build, test, and deploy code that is merged into main to the LD dev server, leveraging Github.
  • Setup AWS Codepipeline to go through a series of steps and a manual approval in order to deploy code from dev to prod leveraging AWS CodeDeploy.
  • Setup a git pre-commit hook which performs linting, unit testing, e2e testing, and guides developers on important heuristics and checks.
  • Setup a wiki to ensure code quality.
SEO Consultant
Employment
May 2018 - Present
SEO Optimization for ldtalentwork.com and blog.ldtalentwork.com Company
Technology Industry
Project: SEO Optimizations for Site and Blog
  • Google Ads
  • Google Search Console
  • Yoast
  • Hotjar
  • Google Analytics
  • XML
  • Google Tag Manager
  • Created XML sitemaps for the blog and site. Setup Google Analytics. Setup structured snippets for job posts. Setup fb/tw/lnkd open graph og cards in the HTML. Fixed Google Search Console errors.
  • Setup Yoast on the wordpress blog, optimized a number of articles according to Yoast, and then created a process where tech talent can optimize their own articles with Yoast.
  • Spec'd out, managed, and QA'd a project where we used the Google Ads API and Open AI apis to create hundreds of skill-based ad groups and ads, and thousands of keywords, headlines, and assets.
  • Programmatically optimized URLs, page titles, headers, metadata, body, images with alt tags, page speed, and other SEO relevant factors. Integrated hotjar to view actual user experience.
  • Managed a team of 3 developers to configure Google Tag Manager. Develop the SEO tabs of the comprehensive Project Success Canvas linked below, which I used on consulting projects.
Website Links
  • http://ldtalentwork.com
  • http://blog.ldtalentwork.com
  • https://docs.google.com/spreadsheets/d/1SRSMemiml-TBihVzscEGa04-AoPYcFR2ZFsp7l_7FIs/edit#gid=1766605256
PhD Researcher
Employment
Sep 2018 - Present
Northwestern University Company
Research Industry
Project: RALE Modules
  • Mixin Pattern
  • MVC
  • Abstract Syntax Trees AST
  • Visual Studio VS Code
  • VS Code Extension Development
  • Typescript
  • Design Patterns
  • Built out RALE Modules, a sensemaking tool that helps novice programmers gain an architectural understanding of professional websites, and then use that understanding to build their own applications.
  • The system highlights and annotates design patterns and architectures (i.e. MVC, Mixin Pattern) in professional python codebases.
  • It then generates a series of diagrams and activities that help intermediate developers understand how and why particular design patterns are applied in particular professional use cases.
  • The project began as a Visual Studio VS Code Extension Development project built in Typescript but evolved into a Bootstrap web app.
  • The project parses out the design patterns using Abstract Syntax Trees AST parsers.
Website Links
  • https://delta.northwestern.edu/people
  • https://dtr.northwestern.edu/people
Github Links
  • https://github.com/ld-rale/rale-modules
  • https://github.com/ld-rale
Marketing Engineer
Employment
May 2014 - Present
LD Talent Company
Technology Industry
Project: Data Crawling, Data Collection, and Automation Projects
  • Html Parsing
  • localStorage
  • Beautifulsoup
  • Heroku
  • Selenium
  • Python Selenium
  • Zapier
  • Leveraged technologies like Python Selenium and Beautifulsoup to perform HTML parsing on sites.
  • Crawled contact data of South Asian non profits to whom we could market our English teaching app.
  • Crawled contact data of potential clients from LinkedIn, incubator, accelerator, and venture fund websites. Leveraged localStorage to store intermediary data and results.
  • Crawled contact data of potential talent from Github and Stackoverflow. Also led efforts to crawl the contact information of university department heads who could disseminate our talent one pager.
  • Leveraged zapier for automation of our organizations business activities (like sending contracts). Also used heroku for storing some crawled data like inspirational quotes for a mental health app.
Website Links
  • https://drive.google.com/file/d/10fIUtvbNMzxtn7tG2ECT_KL_JthBlE96/view
Github Links
  • https://github.com/ldtalent/ac-linkedin-cache
  • https://github.com/ldtalent/rk-scraping-skills
  • https://github.com/ldtalent/resume-parsing
Project Manager
Employment
Jan 2023 - Present
LD Talent Company
Technology Industry
Project: Project Success Canvas
  • Artificial intelligence
  • Frontend
  • AWS
  • Open AI
  • Linters
  • Email Marketing
  • SEO
  • Developed a detailed project success canvas to help technical and nontechnical clients manage their talent and vice versa on LD Talent.
  • Managed a team of developers to create linters to check for the quality of the code of client projects.
  • The canvas covers frontend, backend, and mobile development, artificial intelligence projects, AWS and other clouds, email marketing, SEO guidelines, and more.
  • The heuristics, tips, and questions presented in the canvas are sourced from detailed conversations with Open AI's ChatGPT.
Website Links
  • https://docs.google.com/spreadsheets/d/1SRSMemiml-TBihVzscEGa04-AoPYcFR2ZFsp7l_7FIs/edit#gid=1137515308
Resource Provider
Contract
Jan 2019 - Present
Teams at Infosys Inc. Company
Technology Industry
Project: Infosys Teams
  • UX Design
  • Recommended relevant talent and hiring strategies to Infosys (esp. for building a journey maps product). The company is and has been an important client of LD Talent.
  • Multiple teams at Infosys have used LD Talent to hire for UX Design, Natural Language Processing, and D3.js work.
Website Links
  • https://blog.learningdollars.com/2019/12/19/infosys-recommends-ld-talent/
System Administrator
Employment
Jan 2014 - Present
LD Talent Company
Project: System Administration Duties
  • Nginx
  • Shell Scripts
  • Apache
  • Permissions
  • OAuth
  • Shell
  • AWS CLI
  • Handled servers and web proxies / reverse proxies like Nginx and Apache.
  • Leveraged the AWS CLI to host Elastic Beanstalk apps. Wrote shell scripts on occasion to fix issues.
  • Slightly more on the application development side of things, but we integrated with different OAuth providers for authentication. Also handled permissions for our Django Admin.
PhD Researcher
Employment
Sep 2018 - Present
Northwestern University Company
Education Industry
Project: CS Education Research
  • Python
  • Code Reviews
  • Chrome Extension Development
  • JavaScript
  • Google web.dev patterns
  • CSS
  • Google Chrome Devtools
  • Doing work in CS Education, the Learning Sciences, and Computer Science. Mentoring 10+ Computer Science students. Leveraged Google Chrome Devtools heavily. Studied Google web.dev patterns.
  • Domains include Javascript value transformations, Python design patterns, and granular CSS techniques. Did Chrome Extension Development work to instrument live professional web apps. Did code reviews.
  • Member of the Delta Lab at Northwestern: delta.northwestern.edu/people. Advised by Haoqi Zhang and Eleanor O'Rourke.
  • Member of the DTR Research Communication: dtr.northwestern.edu/people. Featured first in DTR Documentary: https://www.dropbox.com/s/zsexnatf6pcrc4j/DTR_Story_v7.mp4?dl=0
  • Researching and building tools that help novice and intermediate software engineers learn about design patterns and architectures from studying professional code (i.e. on github).
Website Links
  • http://delta.northwestern.edu/people
  • http://dtr.northwestern.edu/people
  • https://app.box.com/s/r2lfn44cmwdc37t5vs637sdzjyugz6w7
  • https://github.com/gobid/gdasu-hci-research
  • https://dl.acm.org/doi/abs/10.1145/3334480.3381444
  • https://dl.acm.org/doi/abs/10.1145/3491101.3516814
  • https://github.com/ld-rale/rale-modules
  • https://github.com/gobid/scaffolded-exercises
  • https://github.com/gobid/scaffolded-exercises-interface
  • https://github.com/gobid/km-css-techniques
Github Links
  • https://github.com/gobid/rale-rnd
Co-Founder
Employment
May 2018 - Present
LD Talent Company
Technology Industry
Project: Wholistic
  • AWS Elastic Beanstalk
  • jQuery
  • Slack API
  • Django
  • Product Management
  • SEO
  • DevOps
  • Developed pre-cursor ideas: A PhoneGap jQuery Mobile app to teach English with celebrity pictures. A Python AST parser to automate code quality analysis. Automated education modules using REST APIs.
  • Did market research around digital products and services and pivoted the company to a talent network model. Developed rule-based matching algorithms (with some machine learning) and vetting modules.
  • Did Product Management of the Django + jQuery app, integrated Slack API, hosted on AWS Elastic Beanstalk, SEO optimized. Coded / merged PRs. Setup DevOps / CI. Organized a fully distributed team.
  • Setup Marketing (designing free trials, cross platform templates, and drip / influencer marketing), Sales & Customer Support (developing playbooks), and Finance & Operations, HR (learning incentives).
  • Branding and design work around mission, motto, vision ideation, swag distribution, culture development. Created LD Ventures to help majority world entrepreneurs target US markets. Design iteration.
Website Links
  • http://ldtalentwork.com
  • https://blog.learningdollars.com/
  • https://blog.learningdollars.com/2019/11/17/how-to-end-world-poverty-and-racial-power-imbalance-in-1-generation/
  • https://blog.learningdollars.com/2020/02/24/how-ld-talent-got-listed-as-a-resource-for-portfolio-companies-of-yc-techstars-pear-a16z-and-12-other-funds-we-just-asked/
  • https://blog.learningdollars.com/2020/03/31/developer-time-tracking-using-slack-beyond-fixed-price-vs-hourly/
  • https://blog.learningdollars.com/2020/04/17/100-remote-startup-mantras/
  • https://www.youtube.com/channel/UCKI3Z_aYSIm5PNwT0nqqNNQ/
  • http://wefunder.com/ldtalentwork
Github Links
  • https://github.com/learningdollars/buildpg
  • https://github.com/gobid/learning_dollars_cs194
Tech Lead
Employment
Mar 2024 - Present
LD Talent Company
Technology Industry
Project: AI/ML Tab of Project Success Canvas: Embeddings, Clustering, and Prompt Engineering
  • ML Embeddings
  • Prompt Engineering
  • Open AI
  • Word Embeddings
  • Transformer
  • Providing anyone in the world access to what FAANGM or Stanford ML researchers know is daunting. Collecting models, algos, & strategies, and transformer-based ML embeddings (Word Embeddings) of them.
  • We present the knowledge in a topological order so that if you proceed linearly down the tab, you should never run into content for which you don't have the prerequisites.
  • We first used prompt engineering with Open AI APIs to extract all AI/ML terms from textbooks and class notes covering AI, ML, DL, PGM, NLP, CV, RL, Robotics, Network Science, etc. bit.ly/3WdSFPB
  • I structured the AI/ML into a 13 step process on the columns. To reduce the term count to be tractable, we used prompts to focus only on models, algos, and strategies, and cluster terms.
  • We then used prompts to create a small # of summaries for a larger # of terms, embedded the terms and summaries, computed their cosine similarity, and programmatically omitted terms strategically.
Website Links
  • https://bit.ly/4d7KECI
Machine Learning Engineer
Employment
Jun 2024 - Present
LD Talent Company
Education Industry
Project: Open AI Assistant to Interview Talent for Conceptual Thinking Ability using Retrieval (RAG) with a Custom Vector Store
  • OpenAI Assistants
  • ML Embeddings
  • Artificial intelligence
  • Machine learning
  • RAG
  • Natural language processing
  • Open AI
  • Given the state of AI, diverse tech workers should know how to think conceptually to provide economic value. I designed a "post onboarding" exam and interview which tests talent's conceptual thinking.
  • The exam content tests for knowledge transfer across diverse disciplines like physics, chemistry, biology, economics, finance, business, soft skills, and more.
  • Automated the "chat-based interviews" to provide a personal tutoring-cum-vetting experience for talent with OpenAI Assistants with ML Embeddings. Now several talent have been trained with these bots.
  • Weighing Machine Learning, Artificial Intelligence, & Natural Language Processing tools (e.g. Embedding APIs, Pinecone/AWS Vector Stores, Llamaindex, etc.), I chose out-of-the-box RAG from Open AI.
  • I decided fine-tuning was not required, but allowed the model to access vectorized versions of manually conducted chats for use during retrieval. I performed prompt engineering to ensure effectiveness
Machine Learning Engineer
Employment
Sep 2023 - Present
LD Talent Company
Education Industry
Project: Diverse Prompt Engineering and Few Shot Learning Projects
  • Transformer
  • Open AI
  • Prompt Engineering
  • I revamped our organization's marketing, vetting, design, and ventures through prompt engineering, few-shot learning, and AI integration (transformers under the hood of Open AI API requests).
  • AI made marketing IT, copy, graphics, & messaging more custom. Identifying companies affiliated with particular "umbrella orgs" (e.g. incubators, funds, accelerators, unis) became more precise.
  • W.r.t. vetting, I also developed prompts and rubrics to carefully score soft skills-related assessments, as well as some system design components. I also used prompts for creating MCQ content.
  • W.r.t. design, I designed and managed bots for grammar-correcting (for our Site, Blog, and Slack), lifelong learning project recommendations for skill development, resume vetting, & ad keywords.
  • I also designed Human-AI systems to detect untagged skills, provide customer support, process emails / Slack messages, import LinkedIn data, and speed up/improve matching with profile embeddings.
Human AI Systems Engineer
Employment
Jun 2024 - Present
LD Talent Company
Technology Industry
Project: Design of Human AI Systems for Efficient Business Processes
  • OpenAI Assistants
  • ML Embeddings
  • RAG
  • Open AI
  • Transformer
  • Designed prompts (critics) that critique the output of other prompts to improve the quality of our post-onboarding exam evaluations and AI/ML canvas term curation.
  • Designed a system that can ingest our organization's diverse data and automatically respond to emails, Slack messages, and Zendesk chats. I am currently managing its implementation.
  • The system will use Open AI APIs / OpenAI Assistants and RAG. For now, we are not using jsonl files and fine-tuning, but may consider them if needed.
  • Designed a way to replace our rules-based talent-client matching algorithm with one based on similarity (cos) of ML embeddings from a transformer applied to profile data. Currently being implemented.
  • The effects of such a matching algorithm revamp include greater site speed and matching accuracy, as well as more flexible and fuzzy results that handle edge cases.
Website Links
  • https://bit.ly/4d7KECI
SEO Consultant
Contract
Oct 2023 - Nov 2023
Pivot Door Company Company
Construction Industry
Project: SEO for North America's Top Pivot Door Ecommerce Platform
  • Schema.Org
  • Quality Assurance QA
  • Robots.Txt
  • Quality Assurance
  • Sitemaps
  • Meta Tags
  • SEO
  • Provided the web development team a comprehensive walk through of techniques to optimize their ECommerce website and perform Quality Assurance QA.
  • Reviewed the SEO tab of LD's Project Success Canvas to cover page anatomy, meta tags, image alt tags, and other important SEO concepts (such as schema.org tags, robots.txt files, and sitemaps).
Website Links
  • https://docs.google.com/spreadsheets/d/1SRSMemiml-TBihVzscEGa04-AoPYcFR2ZFsp7l_7FIs/edit#gid=1766605256
  • https://www.pivotdoorcompany.com/
Product Manager
Employment
Jan 2020 - Jul 2022
LD Talent Company
Education Industry
Project: Knowledge Map and Curricula Develpoment
  • Foreign Keys
  • Moodle Api
  • Migrations
  • Timers
  • Moodle
  • Wordpress Plugins
  • Compiled a complete list of all courses, topics, curricula, and established knowledge in downloadable cheatsheets and textbooks. Setup Wordpress plugins to improve the quality of our blog's content.
  • Based on a smaller set of quizzes specific to budding developers hosted on LD Talent's Moodle. Set up db migrations to track talent and their learning milestones using foreign keys.
  • Leveraged the Moodle API to detect when candidates had scored above 85% on exams to determine if learning milestone payments could be released to talent. Developed automated, scalable peer reviewing.
  • This work is based on LD Talent's idea of industry-driven educational conditional cash transfer. Developed a set of automated paid training milestones across technical and soft skills (with timers).
  • Spec'd and managed a team to build out a plagiarism detector (after reading the Stanford MOSS paper and forking it) as well as an evaluator of github profiles. Auto-scored profiles' code complexity.
Website Links
  • https://blog.ldtalentwork.com/2022/07/21/complete-list-of-all-courses-topics-curricula-and-established-knowledge-downloadable-cheatsheets-and-textbooks/
  • http://moodle.ldtalentwork.com/
  • https://www.ldtalentwork.com/about-us/
  • https://blog.ldtalentwork.com/2019/11/17/how-to-end-world-poverty-and-racial-power-imbalance-in-1-generation/
  • https://dl.acm.org/doi/10.1145/2556325.2566238
  • https://web.stanford.edu/~cpiech/bio/papers/tuningPeerGrading.pdf
Product Manager
Passion Project
Jun 2018 - Jun 2021
Sangeeta Sudha Company
Arts and Entertainment Industry
Project: Carnatic Music Lyrics Translation App (Sanskrit to English)
  • Json
  • App Store
  • App Store Connect
  • Project Management
  • SQLite
  • Product Management
  • Google Play Services
  • Helped manage the App Store Connect deploys for iOS and the Google Play Services for Android.
  • Helped with both project management and product management to make this rare set of Carnatic Music translations a reality.
  • Led several developers to build an iOS and Android app for Sangeeta Sudha using React Native.
  • The app lets you search Carnatic music by raga, composer, and other attributes. It also lets you see the Tala and translations of Carnatic songs.
  • We leverage JSON for data transfer between the backend and frontend. Prototyped with a SQLite db locally.
Website Links
  • https://apps.apple.com/us/app/sangeetasudha/id1371265127
  • https://play.google.com/store/apps/details?id=com.sangeetasudha
  • https://blog.ldtalentwork.com/2018/10/24/prof-sridhara-dasu-hires-ld-engineers-to-build-carnatic-music-app-achieves-500-installs-on-google-play/
Resource Provider
Contract
Aug 2020 - Nov 2020
Baidu Inc. Company
Technology Industry
Project: Baidu Ventures
  • Data Science
  • Web scrapers
  • Webdriver
  • Baidu became a client of LD Talent. Advised Baidu on how to approach web crawling of JS heavy sites. Also helped them find and hire relevant engineers.
  • LD engineers built web scrapers and did data science for Baidu Ventures. Advised the client on webdriver and web scrapers.
Github Links
  • https://blog.learningdollars.com/2021/02/25/developer-reflects-on-work-for-baidu-ventures-and-broad-reach-growth-via-ld/
Teaching Assistant
Employment
Sep 2016 - Jun 2018
Stanford University Company
Education Industry
Project: TA for AI, Probability, CS Theory
  • Probability Distributions
  • Artificial intelligence
  • Mathematical Foundations Of Computing
  • Discrete Mathematics
  • Probability
  • Probability Theory
  • Search Algorithms
  • CS 221 Artificial Intelligence Course Assistant (covered Search Algorithms)
  • CS 109 Computer Science Probability Theory Course Assistant (covered Probability Distributions)
  • CS 103 Mathematical Foundations of Computing Course Assistant (covered Discrete Mathematics and 1st&2nd order logic)
  • Held office hours and graded assignments. Scaffolded learners as needed. Received positive ratings for providing appropriate scaffolding and presenting material step by step.
  • Created some assignments / projects for CS 109. Taught sections for CS 109. Learned from feedback on preparation and presentation.
Website Links
  • https://cs.stanford.edu/
Machine Learning Engineer
Course Project
Apr 2018 - Jun 2018
Stanford University Company
Media and Communication Industry
Project: Topic Modeling using Neural Networks
  • LSTM
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Deep learning
  • Tested the character-level CNN (Convolutional Neural Networks), basic CNN, and LSTM (one of the popular Recurrent Neural Networks) models on the problem of topic classification.
  • Trained on a mid-size data sample of 10-20K examples from Reuters newswire.
  • Through these deep learning experiments, we discovered that for this sample size, basic CNN performs the best.
Website Links
  • https://drive.google.com/file/d/106lPRNYCfuXxCU-H2gijVSoxWQtVblk-/view
Machine Learning Engineer
Course Project
Jan 2018 - Mar 2018
Stanford University Company
Technology Industry
Project: Rainbow on Pong - RL
  • Deep Q Learning
  • Open AI
  • Reinforcement learning
  • Markov Decision Processes
  • Google Cloud
  • Q Learning
  • Gpu
  • After studying policy and value iteration, MDPs, Monte Carlo methods, Q Learning, DQN, double Q Learning, and such, we ventured out to test out Rainbow, a state of the art algorithm at the time.
  • We trained and evaluated the model on Pong in the Open AI gym, and leveraged Google Cloud Platform (CGP) GPU credits provided by the Reinforcement Learning course.
  • We founder Rainbow performed the best but did not have a smooth learning curve. Rainbow is a combination of many different types of Deep Q Learning methods.
  • Note, by MDPs we mean Markov Decision Processes.
Website Links
  • https://drive.google.com/file/d/1FEnxiyYFrRoSqcv3x7Bw5Nj7C4LBBxBN/view?usp=drive_link
Research Assistant
Employment
Jun 2017 - Aug 2017
Stanford Univesrity Company
Research Industry
Project: Research Assistant with Prof. Michael Bernstein
  • Postgresql
  • Human Computer Interaction Hci
  • Postgres
  • Relational Database
  • Worked with postgresql relational database to analyze resume data.
  • This was part of a Human Computer Interaction HCI research endeavor.
Machine Learning Engineer
Course Project
Mar 2017 - Jun 2017
Stanford University Company
Arts and Entertainment Industry
Project: Convolutional Neural Networks CS 231N Digital Makeup
  • Computer vision
  • PyTorch
  • Python Selenium
  • Google Cloud
  • Convolutional Neural Networks
  • Computer Vision (Theory)
  • Generative Adversarial Networks
  • Leveraged unpaired generative adversarial networks for digital facial makeup application. This was for a class on Convolutional Neural Networks for Computer Vision (Theory).
  • Worked with partners Dr. Julie Chang, now a computer vision research scientist at Apple, and Dr. Divya Dhar Cohen. Performed initial data crawling using Python Selenium for a custom data set.
  • Given an image of a pre-makeup face and a lipstick color to apply, we wanted to generate a realistic image of the same face with lipstick. We started by testing CycleGAN on CelebA lipstick/hair.
  • Then we trained CycleGAN on faces with and without makeup (for training cycles in both directions). And, we performed transfer learning on the custom datasets of lipsticks of a specific color.
  • We experimented with 1 vs 2 conv layers. We used saliency maps to explain the model. The model focused on the lips for lipstick for instance. We used Pytorch and Google Cloud GPU credits throughout.
Website Links
  • https://drive.google.com/file/d/0B8C-fNTa0hp9VG5ObWRZOVRZMjg/view?resourcekey=0-4maC16iJgFkno5YfFY0huA
  • https://drive.google.com/file/d/0B8C-fNTa0hp9QWt1UzhBell3YU0/view?resourcekey=0-Q8K0ARfEqewxs7wtn3QqaA
  • https://chat.openai.com/share/d18c46ee-f75d-44bf-8f10-77c6c59c4e27
Digital Nomad / Traveler / Hosteller
Contract
Jun 2014 - Sep 2016
Digital Nomad Company
Travel Industry
Project: Various Consulting Projects
  • jQuery
  • Content Management System
  • Django
  • HIPAA Cloud Compliance
  • PHP
  • JavaScript
  • Wordpress
  • I ran a software consultancy and worked remotely with 14 clients during this time.
  • I built web apps like a job portal for designers, political and religious opinion platforms, a tool for recommending extra curricular activities for college applications, and a health data aggregator.
  • I built mobile applications in the domains of automobile safety and live video streaming. The health related projects involved studying the AWS HIPAA Cloud Compliance white paper.
  • I used Django, Django REST Framework, PHP, HTML, CSS, Javascript, jQuery, and Content Management Systems (Wordpress) to achieve the above features.
Developer
Passion Project
Jun 2014 - Jan 2015
LD English Company
Project: App for Teaching English with Celeb Pics
  • Jquery Mobile
  • Cordova
  • Android Emulator
  • Appery.io
  • AJAX
  • Python Selenium
  • Google Apps Script
  • Built a PhoneGap (Cordova) jQuery Mobile app to teach English with celebrity pictures. Tested the app using the iOS Simulator and Android Emulator. Early versions were built with Appery.io
  • Leveraged AJAX to make HTTP requests from the frontend to the Django REST Framework based backend API.
  • Leverage Python Selenium to crawl the web for relevant celebrity pictures.
  • Leveraged Google Apps Scripts on the spreadsheets to write custom scripts for organizing the data.
  • Managed a team to create mp3 recordings of 8K+ words and phrases across 10+ regional South Asian languages.
Website Links
  • https://docs.google.com/spreadsheets/d/1L7ZG-bMcku1g5nDpo9E46dBQXFU2HXKrRPENva2qZ80/edit#gid=759234093
  • https://drive.google.com/drive/u/0/folders/0B8C-fNTa0hp9NmdxNkROMUVQZU0
Machine Learning Engineer
Course Project
Jun 2013 - Dec 2013
Stanford University Company
Finance Industry
Project: Stock Price Predictor with Supervised Learning and Opinion Mining
  • Svm
  • Artificial intelligence
  • Machine learning
  • Natural language processing
  • Sentiment Analysis
  • Bloomberg
  • Supervised Learning
  • Worked w/ Pranav Rajpurkar (now a Harvard professor of Bioinformatics/AI) & Sathish Nagappan (YC founder) on AI (CS 221, Chris Piech), ML (CS 229, Andrew Ng), & NLP (CS 224N, Chris Manning) projects.
  • Used features such as momentum, ROC, moving average, oscillation, etc. Trained on various companies in the industry to predict if Apple's stock price would rise. Used Logistic Regression and SVM.
  • Continued the supervised learning approach from the Artificial Intelligence course project in my Machine Learning and Natural Language Processing courses, but added Sentiment Analysis.
  • Our first model only included data like EBITDA, PE ratio, and historical prices, but our new model incorporated human news and opinions on companies, their products, and their services.
  • Obtained data from the Bloomberg and FactSet machines at the Stanford GSB. We had features indicating whether n-grams (e.g. CEO bought stock) were present in headlines.
Website Links
  • https://drive.google.com/file/d/0B8C-fNTa0hp9U0VCVUltaFhiTWM/edit?resourcekey=0-VfXL0jeZYVABCyOXTQ5tug
  • https://docs.google.com/file/d/0B8C-fNTa0hp9NElrY1Qzb1NuUUU/edit?resourcekey=0--u50vsQQE7KOk5NIVsKE6w
Github Links
  • https://github.com/gobid/nlp-ml
Developer
Passion Project
Sep 2012 - Jun 2013
Startup Cloud Company
Technology Industry
Project: Computer Science and Entrepreneurship Tutorials and Dashboards
  • Jwt
  • Nodejs
  • Mongoose
  • MongoDB
  • NoSQL
  • Facebook API
  • ExpressJS
  • Developed a set of dashboards for teaching budding entrepreneurs or technologists about the steps towards starting a tech business.
  • Leveraged Nodejs / ExpressJS on the backend, Bootstrap on the frontend, and MongoDB / Mongoose for the NoSQL database. Made installations by dabbling with tools like Bower.
  • Leveraged the Facebook API to support logins. Developed a flagship app called LovesMeBack which was a similar idea to Tinder.
  • Leveraged Jwt tokens when integrating with third party APIs and setting up social authentication within Django REST Framework.
Website Links
  • http://www.cstablet.org/
Tutor
Contract
Jul 2012 - Dec 2012
Cardinal Scholars (acquired by Course Hero) Company
Education Industry
Project: AP Subjects Tutor
  • Google Oauth
  • C++
  • Grid
  • Homebrew
  • Flask
  • Jade
  • Handlebars.Js
  • During my time with Cardinal Scholars, I tutored ~10 High School students on their schoolwork as well as their Test Prep Curriculum.
  • I tutored AP Physics, AP Calculus, AP Computer Science, English as a second language, SAT prep, and Computer Proficiency.
  • For some of my computer science students, I designed problems that they could solve using a Java or C++.
  • Built miscellaneous demo apps in Flask, the Bootstrap Grid, Google Oauth, and templates like Jinja, Jade, and Handlebars.js at this time, using Homebrew for installations on Mac.
Website Links
  • https://www.coursehero.com/
Software Engineer
Internship
Jul 2012 - Sep 2012
Hitpost Inc. Company
Sports Industry
Project: OnSports
  • Curl
  • Dom Events
  • Facebook API
  • Dom
  • Adobe Illustrator
  • HTML
  • CSS
  • At Hitpost (Acquired by Yahoo!), I built the landing page for the bet-on-sports iOS app then known as OnSports.
  • I translated Adobe Illustrator mock-ups into HTML, CSS, and other DOM elements. Leveraged DOM events to make the page dynamic.
  • The landing page involved simulations of dynamically increasing bet scores for live games.
  • In addition at Hitpost, I provided implementation strategies of various Facebook APIs by referring to work I did on my own project War of Word.
  • Learned about command line tools like CURL and wget.
Website Links
  • https://www.crunchbase.com/organization/hitpost
Software Developer
Contract
May 2012 - Jul 2012
Dygest Inc. Company
Politics Industry
Project: Scoople
  • HTML Audio and Video Media
  • Lazy Loading
  • Twitter APIs
  • Frontend
  • Facebook API
  • Css Transitions
  • Flash
  • At Dygest, I helped market the iOS app Scoople which polls people on what they think other people think about contemporary issues.
  • I built a flash application for Facebook Feed Gaming (some Facebook API usage). Used patterns like lazy loading.
  • I helped grow the Scoople Twitter following using computerized marketing techniques (some direct / indirect usage of Twitter APIs).
  • Focused on the frontend aspects of the company dealing with HTML audio and video media.
  • Explored Flash vs CSS animations and CSS transitions.
Website Links
  • https://www.crunchbase.com/organization/dygest
Full Stack Developer
Passion Project
Mar 2011 - Jun 2012
War of Word Mobile Application Company
Politics Industry
Project: Full Stack Developer
  • Objective C
  • Ios Simulator
  • HTTP
  • iOS native app development
  • REST
  • Apple Push Notifications
  • Rest Api
  • Worked with Prag Batra to integrate the War of Word web application into the mobile app, to help users craft, vote on, and debate political resolutions on the go.
  • Built an HTTP REST API in PHP and helped integrate it with the Objective C codebase used for iOS native app development. Tested using the iOS Simulator.
  • We implemented Apple Push Notifications to inform users about relevant resolutions or debate comments.
Website Links
  • https://www.facebook.com/warofwords123
Full Stack Developer
Passion Project
Mar 2011 - Jun 2012
War of Word Company
Politics Industry
Project: Webmaster
  • Notifications
  • PHP
  • Facebook API
  • HTML
  • MySQL
  • CSS
  • Push Notifications
  • I came up with the idea of War of Word while helping plan a Junior States of America convention. I noticed that many delegates had issues attending because of convention and transportation costs.
  • For this reason, I designed a virtual and never-ending debate convention where delegates can craft, vote on, and debate resolutions without ever leaving their homes.
  • My goal was to promote democracy by encouraging people to practice it every day.
  • I wrote the frontend in HTML, CSS, Javascript, and jQuery, and I wrote the backend in PHP, MySQL (with PHPMyAdmin), integrating with the Facebook API for login.
  • I collaborated with iOS developer Prag Batra to handle Apple Push Notifications.
Website Links
  • https://www.youtube.com/playlist?list=PLyawreAPJyCZPh-HJDNY-AROVpj3Ku7t-
Software Engineer
Internship
Jun 2011 - Aug 2011
UC Santa Cruz Company
Education Industry
Project: Astrophysics Intern
  • Perl
  • C++
  • Data Analytics
  • Introductory Astronomy
  • Telescope
  • Java
  • Phpmyadmin
  • I worked with Prof Gregory Laughlin on a brown dwarf search which led to the Intel STS Paper Discovery of 16 Nearby Brown Dwarf Candidates in WISE Telescope Preliminary Release Data.
  • We reported a discovery of sixteen nearby brown dwarf candidates and seven temperature-specific (200 K - 500 K) populations (102 sources) in the WISE Preliminary Release Data.
  • Leveraged Monte Carlo simulations and wrote code in C++ and Java to parse astronomical FITS files. Converted Perl scripts to C++ / PHP (with phpMyAdmin) as needed.
  • Used Data Analytics techniques like Regression in Mathematica and Logger Pro. Learned about planets, stars, and Introductory Astronomy concepts.
Website Links
  • https://bit.ly/41H1J0i
LD Experience
Client Projects
Developer
Contract
May 2023 - Present
We Are Tastebuds LLC Client's Company/Project
Food and Agriculture Industry
Project: WeAreTastebudsLLC
  • Cocoapods
  • Firebase
  • JIRA
  • Product Management
  • Dart
  • Firestore
  • Flutter
  • Did Product Management work to prioritize features for the WeAreTastebuds restaurant referral app. Day to day involves requesting and evaluating time estimates, working in Jira, Slack, and Github.
  • Quality Assurance QA tested, assigned, reviewed, and merged Flutter/Dart and Firebase (including Firebase Storage) work as part of the Product Lifecycle Management.
  • Debugged issues ranging from Cocoapods to Firebase / Firestore database configs.
Website Links
  • https://wearetastebuds.com/
Github Links
  • https://play.google.com/store/apps/details?id=com.wearetastebuds.tastebuds
Gobi is extremely detail oriented, responsive and conscientious with deep technical knowledge. Perfect PM material.
Review given by the client for this project.
Developer
Contract
Jan 2023 - Present
Pivot Door Company Client's Company/Project
Project: PivotDoorCompany
  • PHP
  • Wordpress
  • SEO
  • CSS
  • Consulted with North America's largest Pivot Door company offering insights from our Project Success Canvas's SEO tab.
  • Made sure to address their specific concern about optimizing content while not messing up a good thing they have going with their PHP Wordpress site and its CSS/HTML/JS.
Website Links
  • https://pivotdoorcompany.com/
  • https://docs.google.com/spreadsheets/d/1SRSMemiml-TBihVzscEGa04-AoPYcFR2ZFsp7l_7FIs/edit?gid=1766605256#gid=1766605256
:)
Review given by the client for this project.
Developer
Contract
Jan 2024 - Oct 2024
Stealth Startup 660 Client's Company/Project
Project: StealthStartup660
  • Open AI GPT-3
  • Python
  • Pandas
  • Open AI
  • Artificial Satellite
  • Crawled tricky government websites, performed prompt engineering, and recruited and managed a full engineering team.
  • Parsed out details around Artificial Satellite data. Leveraged Python to download, extract, and parse the text of government PDFs.
  • Leveraged the Open AI GPT-3 and GPT-4 APIs to understand the PDFs and determine the important information to surface.
  • Leveraged pandas for data analysis.
Effectively crawled tricky-to-crawl websites, performed strategic prompt engineering, and has been recruiting and managing a full engineering team.
Review given by the client for this project.
Developer
Contract
Sep 2024 - Sep 2024
Super Family Client's Company/Project
Project: SuperFamily
  • Artificial intelligence
  • Prompt Engineering
  • Machine learning
  • Natural language processing
  • Open AI
  • Computer vision
  • Deep learning
  • Provided a plan for collecting and analyzing day-to-day behaviors using Natural Language Processing on logs, Machine Learning/Deep learning/Computer Vision on photos of food consumed.
  • Included tips on specific Open AI assistant-related strategies to take, and in general an approach that uses the simplest methods of data preparation, and Artificial intelligence.
  • Covered a few prompt engineering examples with a discussion of few shot learning.
It was a great conversation starter
Review given by the client for this project.
Developer
Contract
Dec 2023 - Mar 2024
kinimafit Client's Company/Project
Healthcare Industry
  • Django REST Framework
  • Open AI
  • Project Management
  • Computer vision
  • Tensorflow
  • Data Preprocessing
  • Worked on a proposal for how to leverage computer vision, Open AI APIs, and Tensorflow to build a body-tracking system for elderly adults.
  • Wrote out a plan for developing a backend API in Django REST Framework DRF and a frontend web and mobile app based on Figma Designs. Described the relevant project management required for execution.
  • Also described how we might do data collection and data preprocessing.
Website Links
  • https://www.kinima.fit/
Received
Feedback received from the client and recorded by LD Talent.
Great feedback-taking attitude that will get him far. Very responsive.
Review given by the client for this project.
Developer
Contract
Nov 2015 - Nov 2015
ClemsonOrange Client's Company/Project
  • Datatypes
  • Python
  • Frontend
  • Css Position
  • JavaScript
  • Database Design
  • Provided advice on writing a python and Javascript script for a web application. Some use of CSS selectors and CSS positioning on the frontend.
  • The application was focused on supporting Clemson University's sports program.
  • Also helped advise around database design and different datatypes.
Developer
Contract
Nov 2015 - Nov 2015
Doornox Client's Company/Project
  • Python
  • Code Reviews
  • AJAX
  • CSS Themes
  • Bootstrap Modal
  • CRUD
  • Bootstrap
  • Built out the backend in Python for a platform for hiring designers. Used CSS Themes to customize the page look.
  • Also built out the frontend in jQuery, Bootstrap, and HTML. Used AJAX to make HTTP requests. Leveraged Bootstrap modals to give users feedback.
  • Conducted code reviews of undergraduate interns' work. Setup CRUD endpoints.
Coding Challenges
Skill:
  • Apache
  • AWS CLI
  • Nginx
  • OAuth
  • Permissions
  • Shell
  • Shell Scripts
Basic
Sep 2020 - Jan 2022
Basic
Sep 2020 - Jan 2022
Basic
Sep 2020 - Jan 2022
Video Projects
How to implement django-tenant-schemas with a fixed URL
Sep 2020 - Jan 2022
Frontend Developer
Technology
  • Apache
  • AWS CLI
  • Nginx
  • OAuth
  • Permissions
  • Shell
  • Shell Scripts
  • Led user research for a new construction site documentation tool.
  • Hosted workshops to synthesize user insights into design requirements.
  • Designed 3D concepts and built prototypes to investigate new tool form factors.
  • Researched existing digital solutions and prioritized key features for app release.
Website Links
  • https://blog.learningdollars.com/2020/08/02/how-to-implement-django-tenant-schemas-with-a-fixed-url/
  • https://agile-headland-01373.herokuapp.com/
Github Links
  • https://github.com/MainaKamau92/rickandmortycharacters
  • https://github.com/learningdollars/mainak-django-tenant-schemas
LD Ventures
Thea
Sep 2020 - Jan 2022
Frontend Developer
Technology
  • Apache
  • AWS CLI
  • Nginx
  • OAuth
  • Permissions
  • Shell
  • Shell Scripts
  • I used the Django Rest Framework to create a multi tenant API with the aid of the django-tenant-schemas package.
  • I used the Postgres Database as the persistence layer and specifically the PostgreSQL Schemas to ensure that all tenants using the API had their data.
  • I used the REST architecture in designing my API.
  • Researched existing digital solutions and prioritized key features for app release.
Website Links
  • https://blog.learningdollars.com/2020/08/02/how-to-implement-django-tenant-schemas-with-a-fixed-url/
  • https://agile-headland-01373.herokuapp.com/
Github Links
  • https://github.com/MainaKamau92/rickandmortycharacters
  • https://github.com/learningdollars/mainak-django-tenant-schemas
Qualifications
Education
Challenger School
Sep 1999 - Jun 2008
Primary School 
Northwestern University (3.9 GPA)
Sep 2018 - Jun 2025
PhD (CS Education Research - Ranked Top 10)
Stanford University (3.9 GPA)
Sep 2016 - Jun 2018
MS (Computer Science - Ranked #1)
Stanford University (3.9 GPA)
Sep 2012 - Jun 2014
BS (Computer Science - Ranked #1)
Harker School (Cum Laude)
Sep 2008 - Jun 2012
Secondary School 
Courses
Scaling Up Excellence
May 2021 - Jul 2021
Book
  • Product Management
Innovators Dilemma
Jan 2021 - Mar 2021
Book
  • Creativity And Innovation
  • Disruptive Innovation
  • Innovation
  • Innovators Dilemma
How Learning Works
Jan 2021 - Mar 2021
Book
  • How Learning Works
Qualitative Research Methods
Sep 2020 - Dec 2020
Survey of Literature
  • Qualitative Research Methods
World Architecture
Apr 2020 - Jan 2021
Book
  • World Architecture
Branding
Mar 2020 - Jun 2020
Hubspot Tutorials
  • Branding Design
  • Branding II
  • Branding I
CS Education Research Seminar (Nell O'Rourke)
Sep 2020 - Dec 2020
Northwestern University
  • Science Education
  • Education Technology
Communicating Your Research (Liz Gerber, Steven Franconeri)
Sep 2019 - Dec 2019
Northwestern
  • Communication
Knowledge Representation I (Bruce Sherin)
Apr 2019 - Jun 2019
Northwestern
  • Knowledge Representation II
Education Technology (Uri WIlensky)
Jan 2019 - Mar 2019
Northwestern
  • Open Source
  • Education Technology
  • Learning Sciences
  • Turtle Logo
Deep Learning (Andrew Ng)
Mar 2018 - Jun 2018
Stanford
  • Deep learning
HCI Research (Michael Bernstein)
Sep 2017 - Dec 2017
Stanford
  • CSS Layout Patterns
  • UX Research
  • Human Computer Interaction Hci
  • Css Float
  • Hci Design And Research
  • Design Research
Design of Learning Environments (Nichole Pinkard)
Sep 2018 - Dec 2018
Northwestern
  • Design Of Learning Environments
  • Design Of Learning Experience
  • Interaction Design
Data Mining
Jun 2017 - Aug 2017
Stanford
  • Data mining
Experimental Methods in Psychology (Michael Frank)
Sep 2017 - Dec 2017
Stanford
  • Power BI
  • R for Statistics
  • Methods
  • Psychology Research Methods
Convolutional Neural Networks (Fei-fei Li)
Mar 2017 - Jun 2017
Stanford
  • Convolutional Neural Networks
  • Convolution
  • Deep learning
  • Computer vision
Probabilistic Graphical Models (Stefano Ermon)
Jan 2017 - Mar 2017
Stanford
  • Probabilistic graphical models
  • Probability
  • Probability Or Statistics
Crash Course Astronomy
Jan 2017 - Mar 2017
Youtube
  • Introductory Astronomy
Linear Algebra (Proof-based)
Sep 2016 - Dec 2016
Stanford
  • Linear Algebra
Robotics, including Mindstorms Practical [Certificate: bit.ly/3lebtNc]
Jan 2015 - Mar 2015
Queensland University of Technology
  • Robotics
  • Robotics (Theory)
A Life of Happiness and Fulfillment
Jun 2015 - Sep 2015
Indian School of Business (ISB)
  • Positive Psychology
Negotiation
Mar 2015 - Jun 2015
University of Michigan
  • Negotiation
AWS EdX Entrepreneurship 101
Sep 2014 - Dec 2014
MIT
  • Social Entrepreneurship
  • Business
AWS EdX Entrepreneurship 102
Sep 2014 - Dec 2014
MIT
  • Social Entrepreneurship
  • Business
User Innovation
Sep 2014 - Dec 2014
MIT
  • Creativity And Innovation
  • Social Entrepreneurship
  • Innovation
  • Business
Combinatorics (Angela Hicks, Proof-based)
Apr 2014 - Jun 2014
Stanford
  • Graph Theory And Combinatorics
  • Combinatorics
Data Mining (Jerome Friedman)
Apr 2014 - Jun 2014
Stanford
  • Data mining
  • Statistics
Engineering for Good (My T. Le)
Apr 2014 - Jun 2014
Stanford
  • Social Entrepreneurship
Entrepreneurial Thought Leaders Seminar (Toby Corey, Ravi Belani)
Apr 2014 - Jun 2014
Stanford
  • Social Entrepreneurship
Human Computer Interaction (Michael Bernstein)
Jan 2014 - Mar 2014
Stanford
  • UX Design
  • Google Chrome
  • Human Computer Interaction Hci
  • Google Chrome Devtools
  • UI Design
Computer Science Writing and Ethics
Jan 2014 - Mar 2014
Stanford
  • AI Ethics
  • Writing
Central Asian Films (Alma Kunanbaeva)
Jan 2014 - Mar 2014
Stanford
  • Film
Energy (Thomas F. Jaramillo)
Jan 2014 - Mar 2014
Stanford
  • Energy
Machine Learning (Andrew Ng)
Sep 2013 - Dec 2013
Stanford
  • Machine learning
Natural Language Processing (Chris Manning)
Sep 2013 - Dec 2013
Stanford
  • Natural language processing
  • Java
  • Jvm
Entrepreneurial Thought Leaders Seminar (Toby Corey)
Sep 2013 - Dec 2013
Stanford
  • Social Entrepreneurship
  • Macros
Electronics
Sep 2013 - Dec 2013
Stanford
  • Electronic Health Records
  • Electric Circuits
Artificial Intelligence (Chris Piech)
Jun 2013 - Aug 2013
Stanford
  • Inline Function Calls
  • Artificial intelligence
Algorithms (Keith Schwarz)
Jun 2013 - Aug 2013
Stanford
  • Algorithms
Computer Graphics (Sergey Levine)
Jun 2013 - Aug 2013
Stanford
  • Computer Graphics
  • Graphics Transformations
  • Graphics Programming
Computer Systems (Jerry Cain)
Apr 2013 - Jun 2013
Stanford
  • Operator Overloading
  • C++
  • MacOS
  • Global Variables
  • Global Scope
  • Computer vision
  • Logging
Probability in Computer Science (Mehran Sahami)
Apr 2013 - Jun 2013
Stanford
  • Theory Of Probability
  • Probabilistic graphical models
  • Conditional Probability
  • Probability Or Statistics
  • Probability
The Water Course (Rosemary Knight)
Apr 2013 - Jun 2013
Stanford
  • Google Maps
  • Water Resources
  • Watersheds
Robotics (Oussama Khatib)
Jan 2013 - Mar 2013
Stanford
  • Robotics
  • Robotics (Theory)
Theory of Computation (Keith Schwarz)
Jan 2013 - Mar 2013
Stanford
  • Computational Linguistics
  • Email Address Validation
  • Computational Logic
Computer Architecture - Organization and Systems (Jerry Cain)
Jan 2013 - Mar 2013
Stanford
  • Assembly
  • C
  • Global Variables
  • Global Scope
  • Command Line Interface
  • Functional Programming
Anthropology of South Asia (Thomas Hansen)
Jan 2013 - Mar 2013
Stanford
  • Cultural Anthropology
  • Anthropological Methods
Programming Abstractions (Jerry Cain)
Sep 2012 - Dec 2012
Stanford
  • Object Oriented Design
  • C++
  • OOP
  • Introductory Computer Science
Design Technology Research (Haoqi Zhang)
Sep 2018 - Jun 2023
Northwestern
  • Design Research
  • UX Design
  • Human Computer Interaction Hci
  • Learning Sciences
  • JS function apply
  • JS this keyword
  • UI Design
Light and Heat - Thermodynamics (Giorgio Gratta)
Sep 2012 - Dec 2012
Stanford
  • Intro Mechanics E&M Light&Heat Modern
  • Engineering Thermodynamics
  • Thermodynamics
Linear Algebra
Sep 2012 - Dec 2012
Stanford
  • Linear Algebra
Political Science Justice & Ethics (Alison Anoll, Kristi Olson)
Sep 2012 - Dec 2012
Stanford
  • Political Science Ethics And Justice
AP Calculus BC (5/5 on Exam)
Sep 2009 - Jun 2010
The Harker School
  • Calculus
  • Precalculus
AP English (5/5 on Exam)
Sep 2011 - Jun 2012
The Harker School
  • Literature
AP French (5/5 on Exam)
Sep 2011 - Jun 2012
The Harker School
  • Grammar
AP Computer Science (5/5 on Exam)
Sep 2011 - Jun 2012
The Harker School
  • Constructor
  • Object Oriented Programming
  • J2EE
  • Class Design
  • Gui
  • Introductory Computer Science
  • Java
AP Physics C - Mechanics (5/5 on Exam)
Sep 2010 - Jun 2011
The Harker School
  • Intro Mechanics E&M Light&Heat Modern
AP Physics C - E&M (5/5 on Exam)
Sep 2010 - Jun 2011
The Harker School
  • Intro Mechanics E&M Light&Heat Modern
AP US History (5/5 on Exam)
Sep 2010 - Jun 2011
The Harker School
  • History
AP Biology (5/5 on Exam)
Sep 2010 - Jun 2011
The Harker School
  • Introductory Biology
AP Physics B (5/5 on Exam)
Sep 2009 - Jun 2010
The Harker School
  • Intro Mechanics E&M Light&Heat Modern
  • Special Relativity
AP European History (5/5 on Exam)
Sep 2009 - Jun 2010
The Harker School
  • History
Good Strategy / Bad Strategy
Aug 2021 - Sep 2021
Book
  • Strategic Thinking I
  • Strategic Leadership
  • Strategic Management
  • Strategic Thinking II
The Decision Book
Sep 2021 - Oct 2021
Book
  • Decision Making
The Lean Startup
Sep 2021 - Oct 2021
Book
  • Gmail Add-ons
  • Product Market Fit
  • Lean Development
Four Steps to an Epiphany
Sep 2021 - Oct 2021
Book
  • Product Market Fit
Organizational Culture and Leadership: artifacts, values, assumptions, talents' needs, autonomy, creativity, purpose
Oct 2021 - Nov 2021
Book
  • Organizational Culture
Rewire your OCD Brain
Nov 2022 - Dec 2022
Book
  • Introductory Psychiatry
Overcoming Unwanted Intrusive Thoughts
Oct 2022 - Nov 2022
Book
  • Introductory Psychiatry
The Brain Fog Fix
Sep 2022 - Oct 2022
Book
  • Introductory Psychiatry
Reinforcement Learning (Emma Brunskill): MDPs, DP, MC Methods, VI, PI, Q-Learning, DQN, Deep Q-Learning, etc.
Jan 2018 - Mar 2018
Stanford
  • Reinforcement learning
Lord of the Rings: Hobbit, Fellowship of the Ring, Two Towers, Return of the King - Personal Growth, Exploration, Temptation, Corruption by Power
Jun 2018 - Aug 2018
Book
  • Storybook
Senior Software Project - Tech Stack choice, APIs, Refactoring, PM, AWS, Reducing Dependencies, Prototyping and Design Iteration
Jan 2023 - Mar 2023
Stanford University
  • Variable Naming
  • Refactoring
  • Data Binding
  • Virtualenv
  • UML Diagrams
  • Pagination
  • Url Routing
Addy Osmani's JS Design Patterns Books - Async, MVC, Lazy Loading, Promise, Arrow Functions, Closure, Mixins, React Components; learned about Provider, Observer, Singleton, State, Page Optimization, Adapter, Decorator (though I only found use cases for some of these, and sometimes the use cases were in other languages)
Aug 2018 - Nov 2023
Books
  • Mixin Pattern
  • Client Server
  • Multiple Inheritance
  • Closure
  • Client Server Pattern
  • Event-driven Architecture EDA
  • Design Patterns
Introductory Psychiatry - DSM5 (clear borders between conditions for diagnosis and research, interview questions around behaviors, e.g. repeated behaviors to detect OCD, and analyzing their answers, appearance, speech, content, etc. for symptoms, e.g. hallucinations, delusions, etc. to detect Schizophrenia), OCD, Anxiety, CBT, Exposure Therapy, MBSR, and also covered some Phobias, Mania, Depression, Schizophrenia, Mood (SSRIs, ECT), Sleep, Attachment/Adjustment, Dissociation, Trauma, Eating, Sex/Gender, Impulse-Control, Substance/Addictive/Gambling, Neurocognitive (Decision-making Logic, Emotion, Language, Reward Systems, Neurotransmitters and drugs that help them stay in the synaptic clefts, some Brain Parts and Systems, Genes, IQ, Motor Control), Pharma/Electroconvulsive - Helped me realize that all of this is a spectrum that all of us can relate to.
Jan 2023 - Dec 2023
Book
  • Introductory Psychiatry
  • Electronic Health Records
Reviews
Client Project Reviews
WeAreTastebudsLLC
Gobi is extremely detail oriented, responsive and conscientious with deep technical knowledge. Perfect PM material.
SuperFamily
It was a great conversation starter
PivotDoorCompany
:)
StealthStartup660
Effectively crawled tricky-to-crawl websites, performed strategic prompt engineering, and has been recruiting and managing a full engineering team.
kinimafit
Received
Feedback received from the client and recorded by LD Talent.
Great feedback-taking attitude that will get him far. Very responsive.
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