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Yug G - Docker developerLD Talent logo

Yug G

The star rating is calculated by averaging the reviews provided by all clients the talent has worked with for a significant amount of time.

If such data is not available, the star rating is calculated from the fraction of work sessions approved by their past clients versus the total tracked by the talent.

If such data is not available, the star rating defaults to the interview rating of the talent at the time of the vetting process.

Other data including reviews from interviews are available on the talents’ profiles but do not influence their star rating, though they do influence their position in the search results.
Software Engineer Preferred Title
$25.00 /hr $ 50.0K /yr Hourly Rate and Yearly Salary
Overview Vetting Experiences Qualifications
Overview
Basic Summary
LD Talent History
  • Worksession Approval 100.0%
  • Average Response Time 7.7 hours
  • Average Count of Messages/Day 2.7
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 41h PST, 83h UTC
  • Projects Worked in Last 2 Weeks 1
  • Hours Worked in Last 2 Weeks 3.5
  • Earned Hours 1.00
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
Interview Scores (3.6/5)
  • Software Engineering Process 2.0/5
  • Technical Breadth 4.0/5
  • Algorithmic Thinking 4.0/5
  • Technical Strength 4.0/5
  • Teamwork 2.0/5
  • Intellectual Merit 4.0/5
  • English Communication 5.0/5
Talent's Devices
  • Desktop Mac・Linux
  • Phone Android
General
  • Member Since Mar 23, 2023
  • Profile Last Updated Mar 28, 2023
  • Last Activity June 6, 2023, 8:14 p.m. UTC
  • Location India
Profile Summary
Hi, I'm a professional software engineer open to working on full-stack applications. Especially interested in hard-engineering problems and experimental front-end tasks like tricky UI/UXs with WebGL/Three.js, or compute-heavy front-ends with WebAssembly.
Skills
Total Experience: 3 years
  • Docker (4E, 3Y)

    4 experiences, across 3 years
  • React (4E, 1Y)

    4 experiences, 1 year
  • Typescript (3E, 1Y)

    3 experiences, 1 year
  • Apollo GraphQL (1E, 1Y)

    1 experience, 1 year
  • NextJS (1E, 1Y)

    1 experience, 1 year
  • Stripe API (1E, 1Y)

    1 experience, 1 year
  • Postgres (1E, 1Y)

    1 experience, 1 year
  • C++ (1E, 1Y)

    1 experience, 1 year
  • Bash (1E, 1Y)

    1 experience, 1 year
  • Python (2E, 1Y)

    2 experiences, 1 year
  • CSS (1E, 1Y)

    1 experience, 1 year
  • D3 (1E, 1Y)

    1 experience, 1 year
  • Matplotlib (1E, 1Y)

    1 experience, 1 year
  • JavaScript (1E, 1Y)

    1 experience, 1 year
  • HTML (1E, 1Y)

    1 experience, 1 year
  • Firebase (1E, < 1Y)

    1 experience, less than a year
  • Tensorflow (1E, < 1Y)

    1 experience, less than a year
  • Machine learning (1E, < 1Y)

    1 experience, less than a year
  • keras (1E, < 1Y)

    1 experience, less than a year
  • Nodejs (1E, < 1Y)

    1 experience, less than a year
  • Sequelize (1E, < 1Y)

    1 experience, less than a year
  • SQLite (1E, < 1Y)

    1 experience, less than a year
  • Heroku (1E, < 1Y)

    1 experience, less than a year
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 41h PST, 83h UTC
Day
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
05 - 21
05 - 21
05 - 21
05 - 21
05 - 21
06 - 14
PST
22 - 14
22 - 14
22 - 14
22 - 14
22 - 14
23 - 07
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
Software Development Engineer
Employment
Dec 2021 - Present
Neverinstall Company
  • Stripe API
  • Postgres
  • Docker
  • Typescript
  • Apollo GraphQL
  • React
  • NextJS
  • Used React and NextJS to develop server-side rendered UIs. Translated Figma designs to pixel-perfect responsive UIs with Styled Components.
  • I converted the front-end codebase from JavaScript to TypeScript for strict typing and painless runtime error debugging.
  • Integrated the Stripe API to our payment gateway, and also developed a checkout flow.
  • Developed the payment and checkout flow with the Stripe payment gateway. Designed database schemas. Developed PostgreSQL triggers and Apollo GraphQL events integrated with microservices.
  • Wrote Dockerfiles for the applications hosted on Neverinstall, and the extensions that go with the applications.
Website Links
  • https://neverinstall.com/spaces
Software Engineer
Passion Project
Jan 2023 - Present
Independent Company
Project: Quick.r - Real-time chatting web application
  • Firebase
  • React
  • Typescript
  • Real-time chatting application with authentication, and the ability to add and remove friends, and unsend/delete messages made with React.
  • Used the Firebase Real-Time database to display messages in real time. Used Typescript to maintain type consistency.
Github Links
  • https://github.com/Yug34/quickr/
Software Engineer
Passion Project
Jan 2023 - Jan 2023
Independent Company
Project: Interactive Audio Visualizer
  • React
  • Typescript
  • Audio level (loudness and frequency) visualizer made with React.js for the control system of the visualizer, and Typescript for type-checking.
  • Used the WebAudio API to get and process sound from microphones, and audio files, and to generate sound within the browser itself using Oscillators.
  • Used the HTML Canvas API to render the visualizations.
Website Links
  • https://yug34.github.io/audio-visualizer/
Github Links
  • https://github.com/Yug34/audio-visualizer
Research Intern
Internship
Oct 2021 - Jun 2022
SAIL (Software Analysis & Intelligence Lab), Queen's University Company
Project: Multivocal literature review on web-application performance analysis
  • Matplotlib
  • CSS
  • JavaScript
  • Python
  • D3
  • HTML
  • Worked on conducting a multi-vocal literature review on the performance analysis of web applications and their performance optimization methods. Used Python with Matplotlib for data plotting.
  • Fixed CSS styling issues in the SAIL website’s (https://sail.cs.queensu.ca/) code and updated it. Also, refined the JavaScript code to be more refactorable and dynamically generated HTML through JSON.
  • Used D3.js to develop an interactive publications browser: https://sail.cs.queensu.ca/publications.html
Website Links
  • https://sail.cs.queensu.ca/
Undergraduate Researcher
Internship
Sep 2021 - Dec 2021
Indian Space Research Organisation Company
Project: Snow detection in the Himalayan region using POLSAR data from satellites
  • Machine learning
  • Docker
  • Tensorflow
  • Python
  • keras
  • Researched the identification of snow cover areas and detection of temporal changes in the Himalayas region.
  • Developed Python scripts to collect data in the Himalayan region from RADARSAT-2 sensors.
  • Helped develop Machine Learning models with Convolutional Neural Networks using TensorFlow and Keras to detect snow caps and predict patterns in their temporal changes.
  • Deployed the ML models with Docker to run on different environments.
Research Intern
Internship
Aug 2020 - Oct 2021
University of Manitoba Company
Project: Remoll
  • Docker
  • C++
  • Bash
  • Implemented a system to locate data resources for Jefferson Lab’s MOLLER Experiment irrespective of the directory it is started from with C++, making remoll function from any directory.
  • Helped containerize remoll with Docker and Singularity containers, allowing users to remotely run remoll on Open Science Grid (a distributed system for computing) for high throughput simulations.
  • Wrote HTCondor job scripts and Bash scripts for submission of simulation jobs, and Python scripts for data storage and data retrieval from OSG.
Website Links
  • https://moller.jlab.org/moller_root/
Github Links
  • https://github.com/JeffersonLab/remoll/
Software Engineer
Passion Project
Apr 2021 - Apr 2021
Independent Company
Project: CSVQL
  • React
  • A React web app that lets you query CSV files with SQL commands through AlaSQL, on the client side.
  • Ability to import local CSV files, add the CSV files through links, or simply paste/type CSVs as input. Ability to download the query results as a CSV file.
Website Links
  • https://yug34.github.io/sql-csv-editor/
Github Links
  • https://github.com/Yug34/sql-csv-editor
Software Engineer
Passion Project
Sep 2020 - Nov 2020
Independent Company
Project: AllBOT - A discord bot
  • SQLite
  • Docker
  • Sequelize
  • Heroku
  • Nodejs
  • Developed a multi-purpose Discord bot in Nodejs using DiscordJS.
  • Used SQLite with Sequelize as the ORM to model discord accounts as users, some items a user can own, and a shop to buy items from.
  • Used ytdl-core to get audio from YouTube, allowing users to stream music from any YouTube video via the Discord bot to a voice channel.
  • Used Docker to containerize the bot, and deployed it on Heroku.
Github Links
  • https://github.com/Yug34/allBOT
Qualifications
Education
Gujarat Technological University
Aug 2018 - Jun 2022
Bachelor of Engineering (Electronics and Communications Engineering)
Courses
CS50: Introduction to Computer Science
May 2019 - Jul 2019
EdX/Harvard University
  • Flask
  • SQL
  • C
  • JavaScript
  • Python
Linear Algebra by Professor Gilbert Strang
Jan 2020 - Apr 2020
Massachusetts Institute of Technology OpenCourseWare
  • Machine learning
Supervised Machine Learning: Regression and Classification
Oct 2019 - Dec 2019
Coursera/Stanford University
  • MATLAB
  • Machine learning
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