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 (17)
speech5
jekyll5
converter4
speech-to-text4
jekyll-theme4
github-pages3
speech-recognition3
graph3
xv62
material-design2
linux1
machine-learning1
pytorch1
caffe1
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/YouzimuCC-electron
Jun 2019 - Oct 2020
A speech-to-text client
Contributions:5 releases, 35 commits, 6 PRs in 1 year 4 months
speech-to-textspeechspeech-recognitiontts
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