Jeet Kanjani

Machine Learning Engineer at Meta

California, United States
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Summary

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Senior
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Top School
Jeet Kanjani is a Machine Learning Engineer with a decade of experience building and productionizing computer vision and ML systems across Meta, Amazon Go, NVIDIA, and research labs like CMU and the University of Oxford. He specializes in optimizing training and inference for large-scale ranking and video foundation models, and has a track record of bridging research and engineering—shipping efficient C++/CUDA model-serving pipelines and achieving large speedups in real-time vision tasks. Educated in computer vision at CMU and experienced at the Torr Vision Group, he combines deep academic exposure to structured vision problems with hands-on systems work that takes models from prototype to certified products. Based in California, he thrives on improving end-to-end efficiency and robustness in multimodal and streaming perception stacks, often focusing on the less-glamorous but high-leverage areas of inference engineering and data pipelines.
code10 years of coding experience
job6 years of employment as a software developer
bookBachelor's degree Computer Science, Bachelor's degree Computer Science at The LNM Institute of Information Technology
bookMaster's of Science Computer Vision, Master's of Science Computer Vision at Carnegie Mellon University
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Stackoverflow

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Github Skills (23)

python10
non-maximum-suppression10
machine-learning10
numpy10
deep-learning10
gpu10
autograd10
neural-network10
tensor10
gpu-acceleration10
recommendation-system7
sharding7
recommender-system7
siamese-network7
cuda7

Programming languages (6)

C++CTeXJupyter NotebookPythonCuda

Github contributions (5)

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Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:38 pushes in 5 years 3 months
templategithub-pages-templatemmistakesmistakesjekyll
jeetkanjani7/Parallel_NMS

Jul 2017 - Sep 2020

Parallel CUDA implementation of NON maximum Suppression
Contributions:11 commits, 3 PRs, 9 pushes in 3 years 2 months
cudanon-maximum-suppression
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