Sumit Binnani
Sr. Machine Learning Engineer at Reddit, Inc.
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolSumit Binnani is a senior machine learning engineer with 10 years of hands-on experience building and deploying ML systems, currently advancing ranking and recommendation efforts at Reddit after leading graph- and transformer-based ML at Twitter. He combines a strong academic foundation (MS in Computer Science, UC San Diego) with practical expertise in computer vision, autonomous driving, and scalable production pipelines, having implemented perception and MPC controllers for UCSD autonomous golf carts. Sumit is an active open-source contributor to core scientific tooling—having improved SciPy’s L-BFGS-B optimization module—and mentors learners as a former Udacity reviewer. His background spans end-to-end ML from model research to high-throughput serving, and he is comfortable bridging low-level optimization fixes to large-scale product systems. Notably, he has delivered production ad-targeting and big-data MapReduce solutions early in his career, demonstrating both research depth and operational rigor.
10 years of coding experience
8 years of employment as a software developer
University of California, San DiegoB.E.(Hons), Electrical and Electronics Engineering, 9.23/10, B.E.(Hons), Electrical and Electronics Engineering, 9.23/10 at Birla Institute of Technology and ScienceSecondary School Certificate, 94.00%, Secondary School Certificate, 94.00% at St. John's High School, Hinganghat
Stackoverflow
74reputation
10kreached
1answer
0questions
Github Skills (9)
fortran10
algorithms10
scipy10
python10
scientific-computing10
documentation9
opencv6
hough-transform6
image-processing6
Programming languages (11)
Github contributions (5)
scipy/scipy
Oct 2015 - Oct 2015
SciPy library main repository
Role in this project:
Backend Developer
Backend DeveloperContributions:5 commits, 1 PR, 9 comments in 20 days
Contributions summary:Sumit primarily contributed to the SciPy library's optimization module. Their work involved debugging and improving the L-BFGS-B optimization algorithm, as demonstrated by the removal of unused files and changes to error messages, as well as updating docstrings for improved logging behavior. The user also made changes to the documentation, specifically the description of variables used in the function.
scipypythonscientific-computing
sumitbinnani/pandas
Oct 2015 - Oct 2016
Contributions:6 PRs, 44 pushes, 7 branches in 11 months
manipulationmanipulation-librarydata-analysispythondata
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