Han Zhu

Member Of Technical Staff at Anthropic

Redmond, Washington, United States
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Summary

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Han Zhu is a software engineer with a decade of experience building high-performance systems and compiler infrastructure, currently serving as Member of Technical Staff at Anthropic in Redmond. Previously at Meta he worked across LLVM compiler optimizations, release infrastructure, and GPU toolchains for AI platforms, and earlier contributed to large-scale feature generation for ads. An active open-source contributor, he improved decompression performance in the widely used Zstandard project by fixing a segfault, adding robust benchmarking, and making low-level inlining and register-allocation improvements. Han combines systems-level performance tuning with production release and CI expertise, and his background spans both engineering and business foundations from UCLA and a master’s in Computer Information Technology from UPenn.
code10 years of coding experience
job8 years of employment as a software developer
bookUniversity of California, Los Angeles
bookMaster’s Degree Computer Information Technology, Master’s Degree Computer Information Technology at University of Pennsylvania
languagesEnglish, Chinese
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Stackoverflow

Stats
193reputation
32kreached
0answers
3questions
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Github Skills (21)

algorithm10
code-optimization10
algorithms10
benchmark10
benchmarking10
zstandard10
c1110
c1710
performance-optimization10
optimisation10
numerical-optimization10
optimization10
allocation9
clangd9
clang9

Programming languages (6)

TypeScriptC++CLLVMJavaScriptPython

Github contributions (5)

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facebook/zstd

Jul 2022 - Jul 2022

Zstandard - Fast real-time compression algorithm
Role in this project:
userPerformance Engineer
Contributions:1 review, 4 commits, 3 PRs in 1 day
Contributions summary:Han focused on optimizing the performance of the Zstandard compression algorithm. They identified and fixed a decompression segfault, added functionality to benchmark and report compression/decompression speeds, and implemented an option to print median speeds, further refining the benchmarking process. The user also inlined `BIT_reloadDStream` and removed branch hints in `ZSTD_decodeSequence` to improve register allocation, leading to noticeable performance improvements in decompression.
deflatezstandardbzip2compressionzstd
zhuhan0/seattle-life

Oct 2017 - Dec 2017

Contributions:69 commits in 1 month
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Han Zhu - Member Of Technical Staff at Anthropic