Kihyun Nam
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.
10 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 (75)
algolia10
super-resolution10
jekyll10
pre-trained-model9
neural-network9
python9
deep-learning9
foundation-models9
machine-learning9
jekyll-theme9
language-understanding9
algolia-search9
convolution9
language-modeling9
github-pages9
Programming languages (6)
Github contributions (5)
DevKiHyun/VDSR-Tensorflow
Aug 2018 - Mar 2019
TensorFlow implementation of very deep convolution network for image super-resolution
Contributions:14 commits, 34 pushes, 1 branch in 7 months
convolutionsuper-resolutiontensorflow
rp12-study/rp12-hub
Aug 2019 - Feb 2020
rp12 허브 입니다.
Contributions:7 commits, 2 PRs, 7 pushes in 5 months
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