Matthew Harvill
Research Engineer at Luma AI
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolMatthew Harvill is an ML research engineer based in San Francisco with a decade of engineering experience focused on inference at scale and deploying foundation models in healthcare. He currently works at Luma AI after contributing to Hippocratic AI as both an ML engineer and research scientist, where he helped train and scale healthcare foundation models. Matthew blends academic rigor from his MS in Computer Science at Stanford with hands-on embedded and systems experience from Texas Instruments, enabling practical end-to-end solutions from silicon to cloud. He has entrepreneurial chops as a recent co-founder and a history of independent research, indicating a strong drive to apply ML toward real missions. Known for shipping production-ready inference systems, he also engages in teaching and mentorship, having served as a TA for core CS courses at Stanford. Quietly versatile, he pairs low-level hardware insight with cutting-edge ML research to bridge gaps between prototypes and scalable deployments.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Computer Engineering, Bachelor of Science - BS Computer Engineering at The University of Texas at DallasMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
Github Skills (3)
sun6
sling4
user-friendly4
Programming languages (4)
Github contributions (5)
Matt-Harvill/Coup-For-All
Apr 2022 - Dec 2023
Contributions:152 pushes, 2 branches in 1 year 8 months
Matt-Harvill/EfficienterZero
May 2023 - Dec 2023
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
Contributions:2 PRs, 46 pushes, 16 branches in 7 months
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