Hee Ryu
Staff Software Engineer at Meta
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolHee Ryu is a Staff Software Engineer and machine learning researcher with 14 years of experience building production ML systems and shipping large-scale product features across Google and Meta. She led ML initiatives for YouTube AutoDubbing, Search, and Assistant, bridging research and productization while managing engineering teams and cross-functional programs that delivered measurable business impact. Her research on ML fairness (InclusiveFaceNet) and inventive demos like the NIPS‑presented “Electronic Screen Protector” have attracted broad media attention and reflect a practical focus on equitable AI. Trained at Cornell in machine learning and AI, she pairs deep technical breadth—from full‑stack systems to computer vision and mobile deep learning—with a mission to make ML accessible to everyone. An operator as comfortable leading incident response and org operations as publishing papers, she uniquely combines hands‑on engineering, research credibility, and product leadership.
14 years of coding experience
15 years of employment as a software developer
MIT-Harvard Medical School Healthcare Innovation Bootcamp, MIT-Harvard Medical School Healthcare Innovation Bootcamp at Massachusetts Institute of TechnologyBS Mechanical Engineering, BS Mechanical Engineering at Hanyang UniversityMaster's degree Machine Learning, Master's degree Machine Learning at Cornell UniversityMIT-Harvard Medical School Healthcare Innovation Bootcamp, MIT-Harvard Medical School Healthcare Innovation Bootcamp at Harvard Medical School
English, Korean
Github Skills (40)
python10
openai-gym10
machine-learning10
deep-learning10
data-science9
hill-climbing9
deep-q-network9
ddpg9
tensorflow9
neural-network9
cross-entropy9
dqn9
dynamic-programming9
actor-critic9
ml-agents9
Programming languages (3)
Github contributions (5)
saeed-abdullah/cs-4740-pos-tagging
Apr 2012 - Apr 2012
Contributions:19 commits in 8 days
part-of-speechpart-of-speech-taggingspeech-to-textspeech-recognitionspeech-synthesis
heejung/deep-learning
Sep 2019 - Jan 2020
Deep Learning applications including Computer Vision and Natural Language Processing/Understanding.
Contributions:3 PRs, 10 pushes in 3 months
pythoncaffe2language-processingtensorflownatural-language-processing
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