Cody Wu is a Machine Learning Researcher and algorithmic architect with 13+ years of experience building high-performance systems for storage, compression, coding theory, and ML model optimization. He holds a PhD and has authored 20+ journal papers and 40+ US patents, including the widely cited "Wu algorithm" that drastically reduced list-decoding complexity for Reed–Solomon and related codes. Cody co-founded a startup acquired by Micron and later drove ECC, compression, and ML innovations at industry leaders (Micron, SambaNova), delivering production gains such as 20–40% faster JPEG/zlib decompression and novel LDPC/soft-decoding schemes for SSDs. More recently he has combined LLM fine-tuning with heavy numeric optimization—using LLMs to generate highly optimized C++ FFT kernels and developing adaptive near-deduplication for training data—bridging cutting-edge research with practical, deployable code (notably active on GitHub and contributing e2e tests to vuejs/core). Based in Palo Alto, he pairs deep theoretical breakthroughs with hands-on engineering that squeezes memory bandwidth and CPU cycles out of real systems.
13 years of coding experience
19 years of employment as a software developer
M.S. Electrical Engineering, M.S. Electrical Engineering at University at Buffalo
Ph.D Electrical and Computer Engineering, Ph.D Electrical and Computer Engineering at University of Illinois Urbana-Champaign
M.S. Mathematics, M.S. Mathematics at Harbin Institute of Technology
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Role in this project:
Front-end Developer & Test Automation Engineer
Contributions:8 commits, 9 PRs, 2 comments in 6 months
Contributions summary:Cody primarily contributed to end-to-end (e2e) testing of various Vue.js examples within the repository. They wrote tests for the todomvc, tree, markdown, grid, and svg examples, demonstrating a strong understanding of UI testing methodologies and tools. The commits involve creating and modifying e2e test files using a testing framework (likely Puppeteer based on the imports).
Contributions:94 commits, 42 pushes, 1 branch in 7 months
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Cody Wu - Machine Learning Researcher at MBZU AI Lab