James Gabriel
Summary
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SeniorJames Gabriel is a Senior Machine Learning Engineer in Seattle with a decade of experience bringing efficient, edge-ready AI to production at companies from startups to Apple. His background blends deep research—designing novel CNN architectures, layers, and losses for resource-constrained devices—with hands-on systems work in robotics, computer vision, and mechatronics from Intel and Carnegie Mellon. He led prosthetics development in CMU’s Biomechatronics Lab and has practical product design experience from roles at Stanley Black & Decker and 4moms, giving him a rare mix of rigorous math, firmware-aware optimization, and real-world engineering. At XNOR.AI he focused on squeezing deep learning into tiny devices; at Apple he now applies that expertise at scale, optimizing models for edge deployment. Colleagues describe him as someone who dives into mathematical foundations yet keeps one eye on manufacturability and power budgets—making cutting-edge models actually work on constrained hardware.
11 years of coding experience
Github Skills (9)
hardware9
sdk9
computer-vision8
camera-api8
realsense8
hand-tracking6
machine-learning3
physics-engine3
pose-estimation2
Programming languages (2)
Github contributions (5)
widgetOne/APPPRS
Aug 2015 - Dec 2015
Contributions:71 commits in 4 months
Oflameo/APPPRS
Aug 2015 - Jun 2016
Contributions:60 pushes, 2 branches in 10 months
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