Rui Pan
Graduate Research Assistant
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolRui Pan is a systems-focused Ph.D. candidate at Princeton with eight years of experience building high-performance infrastructure for ML and LLM inference, advised by Ravi Netravali. His work spans end-to-end systems research and practical deployments, with publications at SOSP, NSDI, MLSys, NeurIPS, and HotNets that address latency-throughput tradeoffs, adaptive inference, and real-time video rate control. He has interned and collaborated with Google, AWS, and MPI-INF, translating research ideas like prefix caching and speculative decoding into impactful prototypes and production-minded insights. Beyond papers, Rui has taught core systems courses and worked on cluster and scheduling projects that reveal a knack for marrying theoretical rigor with systems engineering. Colleagues describe him as a “systems researcher wannabe” who actually ships systems—and often finds clever ways to speed inference per input rather than by brute-force scale.
8 years of coding experience
3 years of employment as a software developer
Bachelor's Degree Computer Science Mathematics, Bachelor's Degree Computer Science Mathematics at University of Wisconsin-MadisonHigh School Affiliated to Shanghai Jiao Tong UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Princeton University
Chinese, English, klingon
Github Skills (56)
transformers10
pytorch10
python10
machine-learning-models10
machine-learning10
inference10
multimodal10
large-language-models10
llm10
audio10
transformer-models10
deep-learning10
state-space10
gpu10
paper10
Programming languages (5)
Github contributions (5)
ruipeterpan/cs639-fa20
Sep 2020 - Dec 2020
Contributions:41 commits, 2 pushes in 2 months
ruipeterpan/cs61c-su19
Mar 2020 - Apr 2020
Contributions:8 commits, 6 pushes, 1 comment in 1 month
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