Rundong Li
Senior Architect, DL HPC Performance at NVIDIA
Shanghai, Shanghai, China
Summary
👤
Senior🎓
Top SchoolRundong Li is a Senior Architect in DL/HPC Performance at NVIDIA with a decade of experience optimizing full-stack machine learning systems, particularly for autonomous driving. He blends research and engineering—self-described as 55% researcher and 45% engineer—having authored a widely used quantization toolkit and several first-author papers cited over 120 times. His work spans algorithm design (quantization-friendly networks) to GPU-scale implementation and software infrastructure, and he holds CN and US patents reflecting practical impact. Based in Shanghai, he earned top marks for his master's thesis on training quantized networks and has a track record of deploying research into production-grade inference accelerations for real-world automotive systems.
10 years of coding experience
6 years of employment as a software developer
Master of Science in Engineering - MSEng, Computer Science and Technology, Master of Science in Engineering - MSEng, Computer Science and Technology at ShanghaiTech UniversityBachelor of Engineering - BE, Design of Integrated Circuit and Integrated System, Bachelor of Engineering - BE, Design of Integrated Circuit and Integrated System at University of Electronic Science and Technology of China
Github Skills (64)
socks10
pytorch10
distributed-training10
runtimes10
python10
tensorrt10
machine-learning10
proxy10
inference10
large-language-models10
numpy10
llm10
color-scheme10
nvidia10
latex10
Programming languages (7)
Github contributions (5)
lirundong/homelab-infra
Jul 2020 - Jan 2023
Rundong's home-lab infrastructure.
Contributions:1 release, 157 commits, 4 PRs in 2 years 6 months
lirundong/shtthesis
Feb 2020 - Nov 2022
An unofficial LaTeX thesis template for ShanghaiTech University.
Contributions:8 releases, 117 commits, 151 pushes in 2 years 10 months
latexthesisshanghaitech-universityshanghaitech
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