Muchen Wu
Staff Software Engineer, Machine Learning at LinkedIn
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMuchen Wu is a Staff Software Engineer focused on machine learning and generative AI at LinkedIn with nine years of industry experience building ranking, retrieval, and embedding-based systems for search and recommendation. He progressed through roles from ML engineer to senior and now staff, leading work that blends large language models with production recommender pipelines. His background includes a PhD in Computer Science and earlier degrees in telecommunications and wireless networking, giving him deep theoretical grounding alongside practical ML engineering. Muchen is also a hands-on engineer and open-source contributor—he’s fixed protocol bugs and improved test coverage in the Bytom Go implementation—showing an emphasis on reliability and code quality beyond models. Based in Sunnyvale, he combines research-caliber thinking with production-first delivery, often optimizing retrieval and ranking at scale. An under-the-radar strength is his cross-disciplinary fluency across systems, NLP, and backend engineering, enabling end-to-end improvements from embedding generation to serving.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of California, DavisBachelor's degree, Telecommunications Engineering, Bachelor's degree, Telecommunications Engineering at Beijing Jiaotong University
English, Chinese
Github Skills (13)
go10
blockchain10
testing10
tx9
command-line-interface8
command-line8
cli8
cryptography8
decentralization7
nft5
evm4
contract4
pos4
Programming languages (9)
Github contributions (5)
BytomDAO/bytom
Apr 2018 - Apr 2018
Official Go implementation of the Bytom protocol
Role in this project:
Back-end Developer
Back-end DeveloperContributions:28 commits, 20 PRs, 25 pushes in 12 days
Contributions summary:Muchen primarily contributed to bug fixes and improvements within the Bytom protocol's Go implementation. Their work involved addressing issues related to invalid transaction handling, access token validation, and command usage in the CLI. Furthermore, the user added tests for coinbase transactions and improved various unit tests, demonstrating a focus on code quality and stability. The contributions span multiple areas including transaction validation and general protocol improvements.
golangposcontractblockchainevm
Lbqds/notes
Jul 2019 - Jul 2021
Contributions:16 commits, 33 pushes, 1 branch in 1 year 11 months
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