Seonbeom Kim
추천팀 (추천 시스템 연구 개발) at Kakao Corp
Seoul, South Korea
Summary
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Top SchoolSeonbeom Kim is a recommendation systems researcher-engineer with eight years of experience building personalized ranking and embedding solutions for large consumer products. Currently at Kakao, he works on search-related keyword recommendations, app home feed personalization, and user embedding research to improve engagement across services. Previously at Buzzni he led a wide range of personalization projects—from content and product ordering on home screens to search personalization, related-item recommendations, and semantic tagging pipelines. He holds a master's in Computer Software Engineering from Hanyang University and a bachelor's in Computer Science from Sangmyung University, blending academic rigor with production experience. Known for pragmatic experimentation, he bridges research and engineering to ship online A/B-tested recommender features. Outside work his public GitHub signals ongoing curiosity in implicit-feedback recommendation tooling and reproducible code.
7 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Sangmyung UniversityMaster's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at Hanyang University
Github Skills (42)
transformers10
pytorch10
language-model10
python10
machine-learning10
seq2seq10
flax10
matrix-factorization10
implicit10
deep-learning10
tensorflow10
natural-language-processing10
bert10
transformer10
speech-recognition10
Programming languages (2)
Github contributions (5)
SeonbeomKim/TensorFlow-Conditional-GAN
Jun 2018 - Jun 2018
Contributions:18 commits, 15 pushes in 2 days
SeonbeomKim/Python-Byte_Pair_Encoding
Oct 2018 - Feb 2019
Contributions:50 commits, 45 pushes, 1 branch in 4 months
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