John Shumway
Principal Member Of Technical Staff at AMD
Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolJohn Shumway is a Principal Member of Technical Staff with 14+ years uniting physics, high-performance computing, and ML infrastructure to accelerate model serving on modern hardware. He’s built and optimized GPU ML libraries and serving stacks at AMD and Google, leveraging deep C++, CUDA, Python, and profiling expertise to squeeze performance from accelerators and network topologies. A former physics professor and research group leader, he brings rigorous numerical methods and scientific software engineering from quantum simulations and semiconductor research into production-grade systems. His background spans startups, DOE labs, and academia, which informs a pragmatic approach to tooling, testing, and developer productivity across cloud and edge environments. Notably, he’s translated academic Monte Carlo and MPI experience into scalable GPU-focused ML libraries, marrying algorithmic insight with low-level systems craftsmanship. Located in Washington, he focuses on pushing ML serving performance boundaries while mentoring engineers to bridge research and product engineering.
15 years of coding experience
25 years of employment as a software developer
Ph. D. Physics, Ph. D. Physics at University of Illinois Urbana-ChampaignUniversity of Missouri
Github Skills (27)
kernel10
hdf9
cluster-computing9
machine-learning9
thin9
tensorflow9
latex9
deep-learning9
nvidia9
cpp8
cuda8
python8
gpu8
build-system8
siggraph8
Programming languages (4)
Github contributions (5)
shumway/srt_bootcamp
May 2015 - Jan 2016
Contributions:8 commits, 16 pushes, 2 branches in 8 months
shumway/tdmsreader
Sep 2011 - Jul 2012
Contributions:27 commits in 9 months
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