Shiyang Chen
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolShiyang Chen is an AI research scientist based in San Francisco with nine years of experience building and optimizing inference systems from hardware-aware foundations to production-scale LLM serving. After a PhD in computer engineering at Rutgers and electrical engineering roots from Huazhong University, he has progressed through internships at LLNL and AWS into roles at xAI and Meta focused on inference and reinforcement learning. He combines deep systems knowledge—what he calls "from transistors to tokens"—with hands-on engineering that cranks LLM inference one request at a time. His background spans applied research and productionization, enabling low-latency, high-throughput model deployment across cloud and custom infrastructure. Colleagues value him for bridging rigorous research with pragmatic engineering trade-offs when pushing ML models into real-world workloads.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Rutgers University–New Brunswick学士, Electrical Science and Technology, 学士, Electrical Science and Technology at 华中科技大学
Github Skills (80)
code-generation10
deep-learning10
visual-studio10
gpu10
compression10
optimization10
editor10
electron10
typescript10
vscode-extension10
nvidia10
data-parallelism10
vscode10
cuda10
visual-studio-code10
Programming languages (7)
Github contributions (5)
cctry/watermark
Nov 2016 - Jan 2017
Contributions:73 commits, 4 PRs, 43 pushes in 1 month
cctry/ControlCentre
May 2017 - Aug 2017
Contributions:43 commits, 30 pushes, 2 branches in 3 months
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