Andrew Grebenisan
Software Engineer, Reality Labs at Meta
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolAndrew Grebenisan is a software engineer specializing in machine learning systems, currently contributing to Reality Labs at Meta with eight years of engineering experience across startups and hardware-focused ML companies. His background blends deep learning research in medical imaging—including a SPIE-published project that adapted prostate cancer diagnosis models for low-resource hospitals—with production-facing work optimizing bare-metal runtimes at Tenstorrent. Comfortable across CV, NLP, and reinforcement learning, he has implemented end-to-end pipelines from Detectron2-based trackers to PPO agents and transfer-learning infrastructures. A consistent academic performer and Queen’s School of Computing research fellow, he pairs rigorous experimental practice with pragmatic engineering to move models from research to deployment. Based in the San Francisco Bay Area, he favors projects that tangibly improve outcomes for users and institutions that lack large datasets or compute. An under-the-radar strength is his experience tuning ML systems for constrained environments, enabling democratized AI in real-world settings.
8 years of coding experience
6 years of employment as a software developer
Computer Science Computer Science, Computer Science Computer Science at Queen's University
English, French, Romanian
Github Skills (26)
equinox10
llama10
stable-diffusion10
accelerator10
callable10
llm10
metal10
low-level-programming10
resnet10
mistral10
ml9
deep-learning9
pytorch8
jax7
facebook5
Programming languages (3)
Github contributions (5)
DrJessop/CISC881Assignments
May 2019 - Aug 2019
Contributions:61 commits, 60 pushes, 1 branch in 3 months
DrJessop/yoga-pose
Sep 2020 - Oct 2020
An application that assists yogis with their posture using Facebook's VideoPose3D library.
Contributions:72 commits, 2 PRs, 31 pushes in 1 month
posturefacebook
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