Shreyas Kamath
Machine Learning Data Scientist
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolShreyas Kamath is a Machine Learning Data Scientist with nine years of experience bridging physics, controls, and applied AI to deliver field-deployable solutions for national security and energy domains. He has led end-to-end projects from R&D and funding acquisition to deploying real-time computer vision and isotope-detection models on edge hardware (NVIDIA Jetsons, Raspberry Pis), and has engineered over 30 operational edge systems. His work combines rigorous statistical modeling and signal separation from his engineering physics and systems/control background with practical ML—achieving >99% accuracy on predictive maintenance tasks and high-performance EV-detection models for utility clients. Comfortable moving models from research to constrained production environments, he has also secured substantial R&D funding and managed multi-hundred-thousand-dollar portfolios. Based in Sunnyvale, he brings both deep quantitative curiosity and hands-on systems expertise, with a track record of translating physics-informed insight into robust, field-ready AI.
9 years of coding experience
5 years of employment as a software developer
BS/MS B.S. in Engineering Physics / M.S. in Systems and Control Engineering, BS/MS B.S. in Engineering Physics / M.S. in Systems and Control Engineering at Case Western Reserve UniversityHigh School, High School at Jyotirmay International School
English, Hindi, Marathi
Github Skills (54)
python-development10
qt10
python10
spyder10
ide10
language-server-protocol10
anaconda10
artificial-intelligence9
pytorch9
numpy9
machine-learning9
language-model9
yolov79
gpu9
ai9
Programming languages (6)
Github contributions (5)
shreyaskamathkm/digital-cv
Jan 2024 - Apr 2026
Contributions:1 PR, 18 pushes, 2 branches in 2 years 3 months
shreyaskamathkm/Pytorch_Cosine_Annealing_Warm_Restarts
Oct 2021 - Oct 2022
Cosine Annealing with Warmup for PyTorch
Contributions:4 commits, 1 PR, 3 pushes in 1 year
pytorch
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