Yanming Lai
Software Engineer, GPU Infrastructure at 之江实验室 Zhejiang Lab
Durham, North Carolina, United States
Summary
🤩
Rockstar🎓
Top SchoolYanming Lai is a software engineer specializing in GPU infrastructure with 11 years of experience building high-performance and research-driven systems. Currently at Zhejiang Lab, he transitioned from HPC engineering to focus on GPU stacks and orchestration for large-scale compute since 2022. His background includes research roles at Duke Kunshan and implementation of adversarial ML techniques during an internship at the Institute of Automation, Chinese Academy of Sciences, where he built MalGAN to probe black-box malware detectors. A Duke University MS in Computer Science and a BS in Computer Engineering from George Washington University anchor his blend of academic rigor and production experience. Based in Durham, NC, he bridges cutting-edge research and practical infrastructure, often working where model-driven experimentation meets cluster-level optimization. Colleagues describe him as analytically curious, equally comfortable diving into low-level performance tweaks or prototyping novel ML adversarial approaches.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Duke UniversityBachelor of Science - BS Computer Engineering, Bachelor of Science - BS Computer Engineering at The George Washington UniversityZhejiang University
Github Skills (15)
cuda10
pytorch10
machine-learning10
deep-learning10
memory-efficient10
scalable10
user-friendly10
chainer10
ml9
tensorflow9
deep-neural-networks9
neural-network9
distributed-training9
benchmark6
benchmarking6
Programming languages (3)
Github contributions (5)
CodexDive/FastBuild
Feb 2024 - Apr 2024
Contributions:1 review, 2 PRs, 2 pushes in 2 months
iamyf/iamyf.github.io
Apr 2015 - Apr 2015
Contributions:2 pushes, 3 branches in 1 day
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