corey hu
SF Bay Area, CA, China
Summary
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RockstarCorey Hu is a Machine Learning Engineer with 8 years of experience based in the San Francisco Bay Area, currently building GenAI training platforms and scalable reinforcement learning at Meta’s Superintelligence Lab. He has led ML work across startups and enterprises—building LLM evaluation pipelines at Snowflake, LLM observability tools at TruEra, and deploying deep learning models for AI-assisted chip design at NVIDIA. His research-to-production track record includes published work and dramatic engineering gains such as a transformer-based gate sizing solution achieving 93% accuracy with 1440x runtime improvements and a transformer that classifies log errors with 94% line-level accuracy. Earlier research at UC Berkeley and Tencent produced novel optimizers and a co-authored IEEE TMI paper on nuclear instance segmentation, reflecting strong foundations in ML theory and applied vision. Beyond engineering, he co-founded NVIDIA’s Asian & Pacific Islander employee resource group, signaling technical leadership paired with community and diversity advocacy.
8 years of coding experience
Stackoverflow
672reputation
26kreached
1answer
1question
python-multiprocessing
top-5%
multiprocessing
top-5%
Github Skills (102)
transformers10
language-model10
interpretation10
python10
google-font10
flax10
font-size10
deep-learning10
instance-segmentation10
woff210
faster-rcnn10
latin10
italic10
ml10
mask-rcnn10
Programming languages (5)
Github contributions (5)
coreyhu/scikit-languageID
Nov 2017 - May 2019
SVM trained on Wikipedia dataset to identify patterns in different languages. Type in a word and the model will predict the language.
Contributions:3 commits, 1 PR, 4 pushes in 1 year 6 months
svmdatasetmachine-learningpredictwikipedia
coreyhu/Urbanist
Jan 2020 - Jan 2023
Urbanist is a low-contrast, geometric sans-serif inspired by Modernist design and typography.
Contributions:14 releases, 238 commits, 57 PRs in 2 years 11 months
ttf-fontswebfontstype-designvariable-fontscontrast
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