Hanbyul Kim
Machine Learning Researcher at 네이버클라우드(NAVER Cloud)
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolHanbyul Kim is a Machine Learning Researcher based in Seoul with 10 years of experience bridging academic rigor and production-grade ML systems. With a PhD from Seoul National University and roles at NAVER, NAVER Cloud, and Samsung Electronics, Hanbyul has focused on ASR, NLP, and scalable ML research and engineering. He brings hands-on expertise in mixed-precision deep learning and a meticulous approach to code quality and documentation, evidenced by contributions to the well-known google-deepmind/sonnet library. Comfortable moving models from research into cloud and product environments, he combines research publication-level thinking with pragmatic engineering for deployment. Colleagues rely on him for clear technical communication and for improving reproducibility and developer experience in complex ML stacks.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Engineering, Doctor of Philosophy - PhD, Engineering at 서울대학교 (Seoul National University)
English, Korean
Github Skills (8)
tensorflow10
python10
deeplearning-ai9
machine-learning9
deep-learning9
neural-network8
documentation8
artificial-neural-networks8
Programming languages (8)
Github contributions (5)
google-deepmind/sonnet
Feb 2020 - Feb 2020
TensorFlow-based neural network library
Role in this project:
ML Engineer
ML EngineerContributions:6 commits, 1 PR, 7 comments in 1 day
Contributions summary:Hanbyul primarily focused on fixing documentation and code block formatting issues related to mixed-precision usage within the Sonnet library. They corrected indentation errors, updated documentation to use the correct syntax, and split lines for improved readability. These commits demonstrate a focus on code clarity and documentation accuracy within the context of a deep learning library leveraging TensorFlow for mixed precision training.
deep-learningneural-networksmachine-learningneural-networktensorflow
hanbyul-kim/Bike-to-Obsidian
Dec 2022 - Oct 2023
Contributions:6 releases, 12 pushes, 7 branches in 10 months
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