Hyuhng Kim
Staff Engineer at Samsung Research
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolHyuhng Kim is a Staff Engineer at Samsung Research and a Ph.D. candidate in AI at Seoul National University with eight years of engineering experience focused on NLP, large language models, uncertainty quantification, and abstention capabilities. He blends deep research credentials—demonstrated by a Google Scholar profile and academic publications—with practical industry experience building ML-powered systems from prototype to production. Past internships at Naver and Tomato System show a strong full-stack and ML tooling background (Java/Spring, Python/Django, TensorFlow) and hands-on work in test automation and visualization services. Based in Seoul, he brings uncommon experience bridging cutting-edge LLM research with applied engineering in enterprise settings. Colleagues would describe him as a researcher-engineer who prioritizes model reliability and calibrated uncertainty when deploying language technologies.
8 years of coding experience
Ph.D. Candidate, Graduate School of AI, Ph.D. Candidate, Graduate School of AI at Seoul National UniversityBachelor's degree, Computer Science and Engineering, Bachelor's degree, Computer Science and Engineering at Soongsil University
English
Github Skills (22)
image-translation10
semi-supervised-learning10
adversarial-learning10
paper10
few-shot-learning10
transfer-learning10
adaptation10
acl7
phonetics7
computational-linguistics6
natural-language-processing5
pytorch4
infovis4
deep-learning4
java2
Programming languages (3)
Github contributions (5)
juny116/eff_tl
Nov 2021 - Mar 2022
Contributions:190 commits, 6 PRs, 154 pushes in 3 months
heyjoonkim/Universal-Domain-Adaptation
Nov 2022 - Jan 2023
Code release for Universal Domain Adaptation(CVPR 2019)
Contributions:98 pushes, 3 branches in 1 month
pytorchdomaindomain-adaptationcvpr-2019adaptation
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