Kyungmin Kim
Leader at NAVER Corp
Gyeonggi, South Korea
Summary
👤
Senior🎓
Top SchoolKyungmin Kim is a leader at NAVER with 11 years of experience applying large language models to analyze and infer large-scale user behavior to improve service quality. He holds a PhD in Computer Science & Engineering from Seoul National University and brings research-rigour to product-focused engineering and team leadership. Previously a researcher and cofounder at a robotics startup, he blends academic depth with startup agility to solve practical problems. Based in Gyeonggi, South Korea, he specializes in turning LLM-driven insights into measurable improvements in user experience and operational quality. An understated strength is his ability to bridge deep technical modeling with actionable service metrics, enabling data-informed product decisions.
11 years of coding experience
PhD, Computer Science & Engineering, PhD, Computer Science & Engineering at 서울대학교
Github Skills (21)
bilstm10
attention-mechanism10
question-answering10
nlp-machine-learning10
video-processing9
cnn-model9
natural-language-processing8
data-science7
pytorch7
machine-learning7
tensorflow7
deep-learning7
python7
loss6
triplet6
Programming languages (3)
Github contributions (5)
Kyung-Min/PororoQA
Nov 2017 - Sep 2022
PororoQA, https://arxiv.org/abs/1707.00836
Contributions:25 commits, 24 pushes, 1 branch in 4 years 11 months
video-story-qavideo-processingdatasetquestion-answering
Kyung-Min/CompareModels_TRECQA
Dec 2017 - May 2018
Compare six baseline deep learning models on TrecQA
Contributions:39 commits, 38 pushes, 1 branch in 4 months
deep-learningtrecqabilstmcnn-modelattention-mechanism
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