Jinheon Baek

South Korea
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Summary

🤩
Rockstar
🎓
Top School
Jinheon Baek is a PhD candidate at KAIST specializing in machine learning for knowledge and language at scale, with nine years of experience spanning research internships at Google DeepMind, IBM Research, Microsoft Research, and Amazon Alexa. He combines rigorous academic training—top grades through BS and MS programs—with practical product and technical leadership as a former CTO and co-founder of an ed-tech startup that exited a big-data university information platform. Jinheon’s work bridges cutting-edge research and applied systems, from developing AI models and cloud services to leading engineering teams of 10+. His internship roles at leading labs reflect both depth in core ML research and the ability to integrate models into large-scale products. He is based in South Korea and maintains an active public profile and project updates on his personal website. A detail often overlooked: his trajectory pairs high academic distinction with hands-on startup exits, signaling both theoretical rigor and executional experience.
code9 years of coding experience
job2 years of employment as a software developer
bookBachelor of Science - BS, Computer Science & Engineering, 4.4/4.5, Bachelor of Science - BS, Computer Science & Engineering, 4.4/4.5 at 고려대학교
bookDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at 한국과학기술원(KAIST)
languagesKorean, English
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Github Skills (62)

prediction-model10
git10
pytorch10
gnn10
graph10
multiset10
graph-neural-network10
graph-convolutional-networks10
graph-representation-learning10
relation-extraction9
geometric-deep-learning9
representation-learning9
github9
meta-learning9
few-shot-learning9

Programming languages (6)

CSSCTeXJavaScriptJupyter NotebookPython

Github contributions (5)

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JinheonBaek/DS-RedBlackTree

May 2017 - Feb 2019

Contributions:15 commits, 11 pushes, 1 branch in 1 year 8 months
Blog for JinheonBaek
Contributions:167 commits, 19 PRs, 160 pushes in 3 years 11 months
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