Kan Wu
Member Of Technical Staff at xAI
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolKan Wu is a Member of Technical Staff focused on machine learning systems, caching, and distributed systems with a decade of experience bridging research and production. He earned a PhD in Computer Science from UW–Madison and has driven low-level serving and fleet-efficiency work at Google—optimizing Gemini serving, activation sparsity, memory tiering, and TLB efficiency—before joining xAI to work on inference for AGI. His background includes academic research at Microsoft Gray System Lab and early systems work at VMware and USTC, giving him a strong blend of systems research and engineering. Notably, he specializes in squeezing efficiency from compute and memory stacks to make large-model inference practical at scale.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Sciences, Doctor of Philosophy (PhD) Computer Sciences at University of Wisconsin-MadisonBachelor of Engineering (B.Eng.) Computer Science and Technology, Bachelor of Engineering (B.Eng.) Computer Science and Technology at University of Science and Technology of China
Chinese, English
Github Skills (69)
database10
storage10
persistent10
embeddable10
lsm-tree9
storage-engine9
persistent-storage9
bigtable9
key-value9
redis9
strings9
key-value-database9
key-value-store9
disk9
data-model8
Programming languages (4)
Github contributions (5)
sherlockwu/blog
Mar 2016 - Jan 2017
Contributions:54 pushes, 4 branches in 11 months
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