Jeet Kanjani
Machine Learning Engineer at Meta
California, United States
Summary
👤
Senior🎓
Top SchoolJeet 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.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at The LNM Institute of Information TechnologyMaster's of Science Computer Vision, Master's of Science Computer Vision at Carnegie Mellon University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
non-maximum-suppression10
suppression10
multiplication9
facebook8
parallel7
matrix7
cuda7
siamese-network6
gpu6
matrix-multiplication6
object-tracking4
skeleton4
computer-vision4
deep-learning3
tensorflow3
Programming languages (5)
Github contributions (5)
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
cudamaximumparallelgpusuppression
jeetkanjani7/Sight
Jan 2017 - Sep 2020
Contributions:3 pushes, 1 branch in 3 years 8 months
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