Kihyun Nam
Research Scientist at KAIST
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolKihyun Nam is a deep learning research scientist based in Seoul with nine years of experience focused on AI research and development. He has worked on applied research projects at NAVER/Clova, translating cutting-edge models into product-facing systems. Trained at KAIST in electrical and electronics engineering, he blends rigorous academic grounding with hands-on experimentation in deep learning. Kihyun maintains an active scholarly profile and a concise GitHub presence that highlights a researcher-first approach rather than broad open-source marketing. Colleagues describe him as someone who bridges theory and engineering, often surfacing pragmatic solutions from complex research problems. He brings particular strength in moving prototypes toward reproducible, production-ready implementations.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at 한국과학기술원(KAIST)
Github Skills (77)
python10
deep-learning10
algolia10
las10
machine-learning10
jekyll10
jekyll-theme10
pre-trained-model9
ruler9
neural-network9
utterances9
super-resolution9
optical-flow9
vision-and-language9
algolia-search9
Programming languages (5)
Github contributions (5)
rp12-study/rp12-hub
Aug 2019 - Feb 2020
rp12 허브 입니다.
Contributions:7 commits, 2 PRs, 7 pushes in 5 months
DevKiHyun/SRCNN-Tensorflow
Aug 2018 - Oct 2018
Contributions:12 commits, 23 pushes, 1 branch in 1 month
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