Kyuyong Shin
Research Engineer at NAVER Corp.
Seongnam-si, Gyeonggi, South Korea
Summary
👤
Senior🎓
Top SchoolKyuyong Shin is a research engineer at NAVER Corp. with eight years of experience applying graph neural networks, geometric deep learning, and explainable AI to production-scale systems like conversational recommender engines and targeted advertising. He has bridged research and product through work on universal user representation (CLUE), LINE PAY advertising, and heterogeneous-graph recommendation for LINE WALLET, bringing interpretability and label-noise handling into deployed pipelines. Trained originally in urban design and planning, he pairs a spatially informed perspective with rigorous ML research, often focusing on learning-curve theory to make models more data-efficient. Based in Seongnam, South Korea, he combines hands-on engineering for CLOVA X with a persistent interest in making complex models explainable and practically useful.
8 years of coding experience
Bachelor of Science - BS, Urban Design and Planning, Bachelor of Science - BS, Urban Design and Planning at Hongik University
Github Skills (9)
netflix10
netlify9
jekyll8
jekyll-theme7
hyperbolic5
gnn4
graph3
graph-convolutional-networks3
pytorch2
Programming languages (2)
Github contributions (5)
ShinKyuY/Graph_Neural_Net
Mar 2019 - May 2020
Contributions:22 commits, 21 pushes, 1 branch in 1 year 1 month
GrootAI/GrootAI.github.io
Oct 2020 - Mar 2021
A Jekyll theme inspired by Netflix. 🎬
Contributions:174 PRs, 200 pushes, 1 branch in 4 months
jekylljekyll-themenetflix
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