Yiming Zuo

Machine Learning Engineer at Meta

Palo Alto, California, United States
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Summary

👤
Senior
🎓
Top School
Yiming Zuo is a machine learning engineer and research scientist with 11 years of experience and a Ph.D. in Electrical and Electronics Engineering from Virginia Tech, specializing in on-device speech and audio ML. He has led multiple production projects at HP to deliver on-device ASR, TTS, noise suppression, de-reverberation, and personalized speech enhancement that outperform major third-party solutions. With 7+ years focused on machine learning, 15+ publications and patents, and a background in bioinformatics-style ML from academia, he blends rigorous research with product-grade engineering. Currently at Meta working on Monetization GenAI foundation and LLM optimization, he brings hands-on optimization of large models for real-world constraints. Based in Palo Alto, he is notable for translating advanced sensor and spectroscopic ML work at HP Labs into deployable systems for consumer devices.
code11 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.) Electrical and Electronics Engineering, Doctor of Philosophy (Ph.D.) Electrical and Electronics Engineering at Virginia Tech
bookBachelor’s Degree Electrical and Electronics Engineering, Bachelor’s Degree Electrical and Electronics Engineering at Zhejiang University
languagesChinese, English
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Github Skills (8)

differential-expression10
gene-expression9
weighted9
transcriptomics9
tsne9
discovery8
network-analysis7
bioinformatics7

Programming languages (1)

R

Github contributions (5)

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Hurricaner1989/github.io

Oct 2017 - Oct 2019

Contributions:121 pushes, 3 branches in 2 years
vue
ressomlab/INDEED

Feb 2019 - Jul 2022

An Implementation of Integrated Differential Expression and Differential Network Analysis for Cancer Biomarker Discovery
Contributions:74 commits, 11 PRs, 61 pushes in 3 years 5 months
integrateddataminingbiomarkercancerbiomarker-discovery
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Yiming Zuo - Machine Learning Engineer at Meta