Harshit S
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.
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.
Machine Learning Engineer Preferred Title
$33.75 /hr $ 120.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Worksession Approval 100.0%
- Average Response Time 3.4 hours
- Average Count of Messages/Day 4.4
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 7h PST, 0h UTC
- No. of Passion Projects 1
- Earned Hours 482.50
- 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
- Desktop Mac
- Phone Android
- Tablet iPad
- Member Since Nov 22, 2019
- Profile Last Updated Jan 30, 2023
- Last Activity June 30, 2023, 2:26 p.m. UTC
- Location United States of America
- Current Status Student
Profile Summary
I love the idea of generating value and positive impact with a specific interest in the versatile use of machine learning and data science. I also enjoy driving innovation at the foundation level be it a startup or a larger enterprise. I am currently looking for good AI/ML internship/coop opportunities for the upcoming summer of 2023.
Skills
Total Experience: 4 years
Python (7E, 3Y)
7 experiences, across 3 yearsFlask (3E, 2Y)
3 experiences, across 2 yearsMachine learning (7E, 2Y)
7 experiences, across 2 yearsNatural language processing (3E, 1Y)
3 experiences, 1 yearTensorflow (3E, 1Y)
3 experiences, 1 yearGPU accelerators (2E, 2Y)
2 experiences, across 2 yearsC++ (1E, 2Y)
1 experience, across 2 yearsComputer vision (2E, 1Y)
2 experiences, 1 yearArtificial intelligence (1E, 1Y)
1 experience, 1 yearGoogle Cloud (1E, 1Y)
1 experience, 1 yearkeras (1E, 1Y)
1 experience, 1 yearData Analytics (2E, 1Y)
2 experiences, 1 yearscikit-learn (2E, 1Y)
2 experiences, 1 yearMatplotlib (1E, 1Y)
1 experience, 1 yearMultithreaded Programming (1E, 1Y)
1 experience, 1 yearPandas (1E, 1Y)
1 experience, 1 yearDeep learning (1E, < 1Y)
1 experience, less than a yearMongoDB (1E, < 1Y)
1 experience, less than a yearNodejs (1E, < 1Y)
1 experience, less than a year
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 7h PST, 0h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
00 - 01
00 - 01
00 - 01
00 - 01
00 - 01
00 - 01
00 - 01
PST
17 - 18
17 - 18
17 - 18
17 - 18
17 - 18
17 - 18
17 - 18
Vetting
- Interview Data
- Agile Development Process
- Productivity and Responsiveness
- Teamwork
- Software Engineering
- Logical Thinking
- Technical Strength
- Intellectual Merit
- English Communication
- Documentation
- System Design
- Coding Challenges60%
- Algorithms Score60%
- General Score60%
- Easy Algorithm
- Correctness60%
- Performance60%
- Medium Algorithm
- Correctness60%
- Performance60%
- Hard Algorithm
- Correctness60%
- Performance60%
- Expertise2/3
- Design Patterns and Architectures2/3
- Debugging2/3
- Stack Traces2/3
- Testing2/3
- System Administration2/3
- Soft Skill Attributes60%
- Entrepreneurial60%
- Whole Brained60%
- Divergent Thinking / Creativity60%
- Design Ability60%
- Empathy60%
- Project Management Ability60%
- Security60%
- Code Quality60%
- Complex Logic60%
- Models60%
- Controllers60%
- Templates60%
- APIs60%
- Training/Testing Data Models60%
- Code Readability60%
- Ongoing Evaluation
- Number of Lifelong Learning Project2
- Number of Coding Challenge Completed3
Experience
Software Developer
Contract
Jan 2021 - Jan 2022
Lattice Data Company
Finance Industry
Project: Developing next-gen Financial Data API Services
- Google Cloud
- Python
- Flask
- Developing smart API components using NLP techniques over Python Flask to process and analyze open text data such as stocks-related news and forums discussions.
- The lead manager of product development pipeline and server over Google Cloud Platform. Implemented Continuous Integration and Git contribution strategy.
Student
Internship
Nov 2020 - Nov 2021
Indian Institute Of Technology, Jodhpur Company
Healthcare Industry
Project: AI Driven Estimation of COVID-19 Prognosis and Comorbidities using Multimodal Data
- Python
- Computer vision
- keras
- Improved model performance from 0.79 AUC score to 0.85 AUC score over test dataset for severity level prediction and obtained a prognosis score of 0.88 over test dataset (BIMCV COVID-19) dataset.
- Generated and trained AE and VAE Computer Vision models based on Resnet, UNet, and Densenet to encode information to lower dimensions for feeding an LSTM-based prognosis model.
- Designed and deployed custom online triplet loss, implemented perceptual loss using pre-trained VGG network and custom weighted loss using MSE, Perceptual, and SSIM loss.
- Custom-coded the architecture, losses, and preprocessing stages using Keras Framework in python.
- The project was sponsored by DST India and was published at the IEEE ISBI 2022 conference.
Developer
Contract
May 2020 - Nov 2020
Blossom Company
Research Industry
Project: Self Drive Route Optimization
- Matplotlib
- Python
- Pandas
- Data Analytics
- Multithreaded Programming
- Worked on Big Data to optimize path routing by appropriate algorithm development and Multithreaded Programming on Python.
- Performed Data Analytics to help develop an algorithm and routing strategy on 12 million trip data.
- Worked with pandas as a data handling module for the algorithm developed and for data analytics.
- Worked on producing dynamic routing graph animations using Matplotlib for better result feedback.
Student
Internship
May 2019 - Jul 2019
Indian Institute Of Technology, Hyderabad Company
Research Industry
Project: Alien Object Segmentation Using Deep Bayesian Methods
- GPU accelerators
- Machine learning
- Tensorflow
- This project involves the use of the Deep Gaussian process to perform segmentation by also marking the uncertainty of the prediction.
- The TensorFlow framework was used to perform the experiments and train the Machine Learning Models.
- The experiments were performed over the NVIDIA-DGX GPU accelerators server of the institute.
Developer
Contract
Apr 2019 - Jun 2019
CoStacks Company
Food and Agriculture Industry
Project: Crops yield estimation and selection: Web Application
- Flask
- scikit-learn
- Python
- Data Analytics
- Machine learning
- The complete project from training to web deployment was done using Python.
- The data was refined and additional data for research to improve the input to our models. Data analytics were derived from the data to form meaningful features for the model input.
- The training procedures were deployed using scikit-learn functions.
- The training was performed using Machine Learning algorithms such as decision trees, random forests, etc, choosing the best models for the ensemble.
- The web application was presented to the client deployed using Flask.
LD Experience
Client Projects
Developer
Contract
Oct 2021 - Feb 2023
WriteWise Client's Company/Project
Education Industry
- Flask
- Python
- Artificial intelligence
- Natural language processing
- Tensorflow
- I was responsible for Python development in Flask and handling the Artificial Intelligence backend.
- Built propriety features such as synonyms generator in Spanish and English, etc, using Natural Language Processing concepts for WriteWise API.
- Management and development of a BERT-based model for better scientific paper suggestions using the Tensorflow (v1) framework.
Harshit is an amazing engineer. He is proactive in everything he does and carefully detailed in his work. His communication with the management team is clear and prompt, ensuring that project goals are met to or exceeding expectations. I will be happy to continue working with Harshit on all of our ongoing projects!
Developer
Contract
Dec 2020 - Jun 2022
UW-Madison-CMS Client's Company/Project
Research Industry
Project: UWMadisonCMS
- C++
- GPU accelerators
- Machine learning
- Developing a Machine Learning algorithm with a viable FPGA implementation for detecting novel particles with data streaming in the L1 Calorimeter Trigger region, CMS at a rate of 25ns/event.
- Handled model design, training, and simplification for FPGA implementation. Currently, we are researching Autoencoder (AE)/ Variation autoencoder models with semi-connected networks for detection.
- Also, worked on the Simulation of Various High energy Physical Processes using C++ and Conducted GPU runs using CUDA codes over GPU accelerators.
Does a good job. Knows a thing or two about GPUs.
Developer
Contract
Dec 2021 - Apr 2022
Ingage Client's Company/Project
Technology Industry
- Deep learning
- Computer vision
- Machine learning
- Implemented state-of-the-art smiles detection deep learning solution and fit the model to homegrown specific company data.
- Worked on developing emotion detection algorithms using machine learning approaches over audio data.
- Researched and Implemented Computer Vision Methods for speed decode for smile detection inference time optimization.
Harshit exhibits an extraordinary amount of engineering judgement overlaid with his subject matter expertise in machine learning. Wildly impressed by his competence, communication and clarity of thought. Most developers just execute, but Harshit can only do that with immense precision but also be a thought partner. Loved working with him and look forward to doing so again.
Developer
Contract
Jul 2021 - Dec 2021
Learning Dollars Client's Company/Project
Finance Industry
- scikit-learn
- Natural language processing
- Machine learning
- Worked on developing Machine Learning models for stock growth prediction.
- Used scikit-learn to develop basic models for prediction over supervised format data.
- Used concepts of Natural language processing (Sequential models) to model time series data.
very impressive work - you solved the issue I had, and also made the code go faster as well
Developer
Contract
Jan 2020 - May 2020
Blossom Client's Company/Project
Technology Industry
- Python
- Natural language processing
- Machine learning
- MongoDB
- Worked on company obtained data to produce a Machine Learning model to predict company attributes.
- The project required extensive use of Natural Language Processing to complete a multi-label operation.
- Python was employed to write the data processing, training, and prediction scripts.
- Worked on company data on MongoDB to pull and push results to the development pipeline.
Faster execution!
Blog Projects
How to create a language translator using Tensorflow.JS
Dec 2019 - Jan 2020
Developer
Education Industry
- Nodejs
- Python
- Machine learning
- Tensorflow
- Coded the training procedure of the language translator in Python.
- Deployed the Machine Learning training procedure using the TensorFlow Framework.
- Converted the model to TensorFlow-JS architecture, imported weights, and deployed over Nodejs.
Coding Challenges
Skill:
- Python
- Flask
- Machine learning
- Natural language processing
- Tensorflow
- GPU accelerators
- C++
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
- Python
- Flask
- Machine learning
- Natural language processing
- Tensorflow
- GPU accelerators
- C++
- 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.
LD Ventures
Thea
Sep 2020 - Jan 2022
Frontend Developer
Technology
- Python
- Flask
- Machine learning
- Natural language processing
- Tensorflow
- GPU accelerators
- C++
- 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.
Qualifications
Education
Indian Institute of Technology, Jodhpur
Jul 2017 - Jun 2021
B. Tech (Electrical Engineering)
Courses
B.Tech Project: Sem II
Jan 2019 - Apr 2019
IIT Jodhpur
- Deep learning
- Machine learning
- keras
Reviews
Client Project Reviews
Ingage
Harshit exhibits an extraordinary amount of engineering judgement overlaid with his subject matter expertise in machine learning. Wildly impressed by his competence, communication and clarity of thought. Most developers just execute, but Harshit can only do that with immense precision but also be a thought partner. Loved working with him and look forward to doing so again.
WriteWise
Harshit is an amazing engineer. He is proactive in everything he does and carefully detailed in his work. His communication with the management team is clear and prompt, ensuring that project goals are met to or exceeding expectations. I will be happy to continue working with Harshit on all of our ongoing projects!
SearchCo
Nice work
LD Talent
very impressive work - you solved the issue I had, and also made the code go faster as well
UWMadisonCMS
Does a good job. Knows a thing or two about GPUs.
Blossom
Faster execution!