Matthew Mcraven is a GPU architect and computational physicist based in San Diego with eight years of experience applying machine learning and systems engineering to understand complex physical systems and design high-performance processors. He blends PyTorch-driven research into the emergent structure of physical phenomena with practical GPU and microprocessor architecture work at Qualcomm, plus prior system- and Qt/C++-based simulation and tooling. Equally comfortable in distributed Kubernetes workloads and tight-resource embedded projects, he prototypes across scales—from large ML training clusters to Arduino-built devices like self-watering lamps and smart mirrors. A strong academic foundation (MS in Computer Science, 3.97 GPA) underpins his habit of teaching colleagues to use ML and programming effectively, and he has a track record of turning theoretical insight into reproducible experiments and realistic teaching processors. Notably, he pairs deep interest in CPU design with hands-on graphics architecture, making him adept at bridging research concepts and production hardware-software tradeoffs.
8 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Computer Science, 3.97, Master of Science - MS, Computer Science, 3.97 at Georgetown University
Bachelor of Science - BS, Mathematics and Computer Science, 3.73, Bachelor of Science - BS, Mathematics and Computer Science, 3.73 at Pepperdine University
High School Diploma, 4.00, High School Diploma, 4.00 at Tigard High School
Contributions:1 release, 761 PRs, 2588 pushes in 2 years 2 months
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