Yongjin Han

Research Member at KyungHee Deep learning Study Team

Seoul, South Korea
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Summary

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Senior
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Yongjin Han is a research-focused software engineer with nine years of experience studying trustworthy AI, fairness, and behavioral analysis of large models. Currently a research member at KyungHee Deep Learning Study Team and previously a graduate researcher at UC Davis, he blends academic rigor with practical security experience gained during service in a military CERT. His work spans fairness research, secure software and programming languages, and hands-on research assistance under multiple professors in Korea and the U.S. Based in Seoul, he brings cross-cultural research perspectives informed by a Master’s in Computer Science from UC Davis and a BS from Dongguk University. Notably, his profile reflects a rare mix of applied security operations and algorithmic fairness research, positioning him to translate theoretical trustworthiness into operational safeguards.
code9 years of coding experience
job2 years of employment as a software developer
bookMaster's degree Computer Science, Master's degree Computer Science at University of California, Davis
bookBachelor of Science - BS computer science and engineering, Bachelor of Science - BS computer science and engineering at Dongguk University
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Github Skills (5)

robustness6
formal-verification4
neural-network2
certification1
gpu1

Programming languages (3)

JavaScriptHTMLPython

Github contributions (5)

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Dalnaracrater/DalnaraCrater1

Feb 2020 - Dec 2023

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Contributions:3 PRs, 55 pushes, 3 branches in 3 years 10 months
Contributions:21 pushes in 2 years 6 months
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