Quan Fan
Senior Deep Learning Performance Architect at NVIDIA
Shanghai, Shanghai, China
Summary
👤
Senior🎓
Top SchoolQuan Fan is a Senior Deep Learning Performance Architect at NVIDIA with 11 years of engineering experience spanning deep learning performance, blockchain product and infrastructure, and backend systems. He co-founded and led blockchain development for a centralized NFT marketplace, building EVM-compatible smart contracts and a low-latency Go-based transaction middleware integrated via Kafka. With MS degrees from UC Riverside and Tsinghua and a background in software engineering and applied mathematics from Beihang, he blends rigorous academic training with practical system-building. Quan has a track record of squeezing performance from systems—e.g., an 8x throughput improvement on a production anti-cheat pipeline—and thrives at the intersection of research, production optimization, and Web3 product strategy.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Software Engineering, Bachelor's degree, Software Engineering at Beihang UniversityMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of California, RiversideMaster's degree, Computer Technology, Master's degree, Computer Technology at Tsinghua University
Chinese, English, Japanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
jekyll5
speech-to-text4
github-pages4
graph3
jekyll-theme3
xv62
material-design2
pytorch1
linux1
machine-learning1
caffe1
deep-learning1
vue1
operating-system1
Programming languages (4)
Github contributions (5)
DavyVan/FlushSSH
Dec 2016 - Sep 2018
Contributions:1 release, 33 commits, 32 pushes in 1 year 8 months
DavyVan/MiniCaffe
Feb 2019 - Mar 2019
Contributions:45 commits, 2 PRs, 3 pushes in 1 month
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