Hyeonuk Kim
Silicon Architect, Machine Learning Architecture at 구글
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolHyeonuk Kim is a silicon architect and machine learning hardware specialist with 8 years of experience designing NPUs and ASICs for flagship SoCs and mobile-constrained deep learning applications. With a Ph.D. in Electrical Engineering from KAIST, he blends algorithm/hardware co-optimization, processing-in-memory innovations, and hands-on ASIC lead design experience that reached silicon via MPW. He has held senior roles at Samsung Electronics and currently architects ML silicon at Google in Seoul, bringing production-focused research to industry-scale products. Notably, his work emphasizes minimal-intrusion memory-device adaptations for PIM, enabling efficient deployment across diverse memory technologies.
8 years of coding experience
2 years of employment as a software developer
Ph. D. Electrical Engineering, Ph. D. Electrical Engineering at Korea Advanced Institute of Science and Technology
English, Korean
Stackoverflow
1reputation
0reached
0answers
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Github Skills (8)
mongoose8
expressjs7
python5
mongodb5
machine-learning5
nodejs5
typescript1
davinci1
Programming languages (4)
Github contributions (5)
Uginim/clevernote
Feb 2020 - Aug 2022
Web note app
Contributions:3 PRs, 25 pushes, 4 branches in 2 years 5 months
notesreactnote-appweb-note
team-puertea/Algo
Mar 2020 - Jul 2021
Online Judge & Learning
Contributions:2 reviews, 149 PRs, 100 pushes in 1 year 3 months
online-judgepythonmachine-learning
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