Kyle Guo
Indie AI Researcher at Indenpendent
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolKyle Guo is an indie AI researcher and former Google LLM Research Engineer with 11 years building production-scale models and infrastructure, including leading work on the Codey family and TPU op placement that powers Google’s code-generation LLMs. Based in Mountain View, he blends deep systems roots—he wrote a small OS in high school and even owns a SYSCALL license plate—with cutting-edge LLM and neuroscience research to pursue more efficient, smarter AGI. His background spans top-tier engineering roles at Google, NVIDIA, Intel, and a MS/BS in Computer Science, giving him experience from low-level systems to large-scale model serving across thousands of TPUs. As an independent founder and researcher since 2023, he’s focused on making models an order of magnitude more capable and affordable than current LLMs. Colleagues describe him as equally comfortable optimizing kernel-level performance and translating research into production-ready systems. That mix of hacker curiosity and production discipline drives his pragmatic, impact-oriented approach to AI research.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Beihang UniversityThe University of Utah
Github Skills (2)
qemu1
docker1
Github contributions (5)
swift-fox/ml-demos
Apr 2020 - Aug 2021
Contributions:12 commits, 11 pushes, 1 branch in 1 year 4 months
swift-fox/MIPS
Dec 2014 - Nov 2015
Contributions:12 commits, 9 pushes in 11 months
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