Zexin Yan
Machine Learning Engineer at Optiver
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolZexin Yan is a Machine Learning Engineer with nine years of experience building high-performance AI systems and infrastructure across industry and academia, currently working in Optiver’s AI Lab in Mountain View. He has a track record of squeezing latency and cost out of large models—designing custom accelerator kernels at Google that improved inference for Gemini-family models and accelerating retrieval for 7B LLMs at Amazon to cut GPU time by orders of magnitude. Previously he led an ML infra team that enabled hundreds of annual SDK releases via AutoML, NAS, and CUDA tooling, and has hands-on experience in production vision and large-scale data pipelines. A CMU-trained software management graduate, Zexin pairs deep systems optimization skills with a maker’s ethos—believing in creating “something wonderful and putting it out there”—and consistently focuses on pragmatic performance wins that unlock research and product impact.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering, Computer Software Engineering, Bachelor of Engineering, Computer Software Engineering at Sun Yat-sen UniversityShenzhen Middle SchoolMaster of Science, Software management, Master of Science, Software management at Carnegie Mellon University
Github Skills (73)
nearest-neighbors9
python9
gpu9
deep-learning9
clustering9
similarity9
machine-learning9
optical-flow9
numpy8
neural-network8
medical8
cosine-similarity8
image-registration8
toolbox7
tensor7
Programming languages (5)
Github contributions (5)
ZexinYan/CheXNet
Mar 2018 - Jun 2018
Contributions:7 commits, 3 pushes, 1 branch in 3 months
TheYelda/Dashboard
Mar 2018 - Jul 2018
Contributions:11 PRs, 86 pushes, 4 branches in 3 months
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