Linkun Chen
Software Engineer at Google
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolLinkun Chen is a software engineer with a decade of experience building on-device ML inference, distributed systems, and developer-facing infrastructure. Currently a Member of Technical Staff at Anyscale, he contributes to high-profile open-source projects like Ray and vLLM that power scalable ML workloads. Previously a Senior Software Engineer at Google, he shipped GenAI/LLM features and won a 2024 Tech Impact Award for integrating Gemini Nano on Pixel devices, plus recognition for TFLite acceleration work. His background spans embedded/assistant features for Google Home and research-driven visualization and webGL work at Brookhaven, reflecting a mix of systems, edge ML, and visualization skills. A Stanford and Stony Brook-trained engineer, he combines production-grade performance optimization with hands-on open-source contributions that help move ML models from research to devices.
11 years of coding experience
8 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Stony Brook UniversityBachelor of Engineering (B.Eng.) Electrical and Electronics Engineering, Bachelor of Engineering (B.Eng.) Electrical and Electronics Engineering at Nanjing University of Posts and TelecommunicationsComputer Science, Computer Science at Stanford University
English, Chinese
Github Skills (77)
parallel10
python10
hyperparameter-optimization10
deep-learning10
ray10
optimization10
llm-inference10
api10
ai10
transformer10
gpt10
api-rest10
data-science10
llama10
typescript10
Programming languages (9)
Github contributions (5)
lk-chen/vllm
Oct 2024 - Apr 2026
A high-throughput and memory-efficient inference and serving engine for LLMs
Contributions:3 PRs, 137 pushes, 38 branches in 1 year 5 months
lk-chen/dot_parse-rust
Jun 2019 - Apr 2020
Contributions:1 release, 49 commits, 17 pushes in 10 months
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