Gaurav Chauhan
Senior Machine Learning Engineer at Upstox
Mumbai, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolGaurav Chauhan is a Senior Machine Learning Engineer at Upstox with nine years of experience building data-driven products across fintech, insurance, and healthcare. He combines hands-on ML and data engineering—having implemented market-specific data ingestion for Indian equities in the popular microsoft/qlib project—with experience leading analytics teams and shipping production models. His background includes building NLP spam filters and recommendation systems at Network18 and driving clinical analytics and growth-retention models at Hopscotch Health. Comfortable bridging product, marketing, and engineering, he has a track record of turning noisy, domain-specific data into actionable insights and measurable business impact. Based in Mumbai, he also actively shares knowledge with the community, reflecting a strong commitment to mentoring and open collaboration.
9 years of coding experience
4 years of employment as a software developer
NES ratnam collegeBachelor of Engineering - BE, Information Technology, A, Bachelor of Engineering - BE, Information Technology, A at Vidyalankar Institute Of TechnologySSC, EDUCATION, SSC, EDUCATION at NES High School
Github Skills (10)
finance10
data-normalization10
data-collection10
python10
yahoo-finance-api10
algorithmic-trading9
quantitative-finance9
pandas9
fintech8
machine-learning8
Programming languages (4)
Github contributions (5)
microsoft/qlib
Jul 2021 - Jul 2021
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits, 2 PRs, 5 comments in 8 days
Contributions summary:Gaurav contributed to the data collection and normalization aspects of the Qlib platform. The user added functionality to collect Indian stock data using the Yahoo Finance API, and implemented specific classes for data collection and normalization for Indian market data. Code changes include the addition of new functions and classes related to Indian market data and cleaning up code style using black. The user also integrated changes to support 1-minute and 1-day timeframes for Indian stock data.
auto-quantpythoninvestment-strategiesempowerquant
2796gaurav/2796gaurav.github.io
Feb 2019 - Mar 2022
Contributions:72 pushes, 1 branch in 3 years 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.