Pratik Jawanpuria
Associate Professor
Mumbai, Maharashtra, India
Summary
🤩
Rockstar🎓
Top SchoolPratik Jawanpuria is an Associate Professor and machine learning researcher with nine years of industry and academic experience, blending deep research roots from IIT Bombay with production ML at Amazon and Microsoft. He has led applied-science teams building scalable ML systems and advanced recommendation methods, notably contributing an Riemannian low-rank matrix completion implementation to the popular "recommenders" repository. His work spans core ML, optimization, and production deployment, reflecting both theoretical depth from a PhD and practical impact at large tech firms. Based in Mumbai, he is known for translating sophisticated algorithms into reproducible code and notebooks that help bridge research and engineering.
9 years of coding experience
10 years of employment as a software developer
Indian Institute of Technology Bombay
Github Skills (13)
machine-learning10
recommendation-engine10
recommender10
recommendation-system10
python10
recommender-system10
data-science9
jupyter-notebook9
scipy8
numpy8
deep-learning6
deeplearning-ai6
artificial-intelligence6
Programming languages (1)
Github contributions (5)
recommenders-team/recommenders
Apr 2019 - Apr 2019
Best Practices on Recommendation Systems
Role in this project:
Data Scientist
Data ScientistContributions:16 commits, 5 PRs, 9 pushes in 14 days
Contributions summary:Pratik primarily contributed to the implementation of the RLRMC (Riemannian Low-rank Matrix Completion) algorithm, a matrix factorization technique for collaborative filtering, within the "recommenders" repository. Their work included the addition of new code, specifically related to the RLRMC algorithm and its associated manifolds. They also focused on code formatting, documentation, and the integration of the algorithm with a notebook to demonstrate its functionality.
recommendation-systemspythonjupyter-notebookoperationalizationmicrosoft
pratikjawanpuria/pratikjawanpuria.github.io
Apr 2017 - May 2017
Contributions:12 pushes, 1 branch in 4 days
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.