Chintak Sheth

Principal Machine Learning Engineer at Roblox

San Carlos, California, United States
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Summary

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Senior
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Top School
Chintak Sheth is a Principal Machine Learning Engineer with 13 years of experience building large-scale ML systems, currently leading user connections work at Roblox from the San Carlos Bay Area. He has driven high-impact ML products at Meta—spanning image understanding, ads ranking, and the Meta Verified growth funnel—delivering measurable revenue and retention gains through GBDTs, sparse nets, and contextual bandits. A strong computer vision researcher-turned-engineer, he contributed to scikit-image (including convex hull and morphology examples) and published image segmentation and saliency work from his academic tenure. Comfortable shipping at both research and production scale, he’s particularly curious about fintech and algorithmic trading, bringing a blend of algorithmic rigor and product-centered deployment experience.
code13 years of coding experience
job10 years of employment as a software developer
bookBITS Pilani, Birla Institute of Technology and Science
bookMaster’s Degree Computer Science, Master’s Degree Computer Science at Stony Brook University
languagesEnglish
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Stackoverflow

Stats
365reputation
38kreached
4answers
6questions
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Github Skills (14)

computer-vision10
scikit-image10
python10
image-processing10
convex-hull10
numpy9
documentation8
parallel-processing6
deep-learning6
android6
joblib6
gpu6
virtualenv6
image6

Programming languages (2)

C++Python

Github contributions (5)

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scikit-image/scikit-image

Apr 2013 - Jul 2013

Image processing in Python
Role in this project:
userData Scientist
Contributions:34 commits, 1 comment in 2 months
Contributions summary:Chintak primarily focused on enhancing the morphological filtering example in the scikit-image documentation. Their contributions involved adding a horse image to the data set and integrating it into the morphology example. Further work included refining the documentation, including URL formatting, whitespace cleanup, and rewording sections for clarity. They also implemented and tested the `convex_hull_object` function, showcasing a deep understanding of image processing techniques within the context of the repository.
image-processingpythoncomputer-visionimage
chintak/inpainting-demo

Oct 2013 - Jan 2017

Contributions:5 commits, 2 pushes in 3 years 3 months
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