Hyoungseok Kim

Senior Software Engineer at NVIDIA

Seoul, South Korea
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Summary

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Senior
🎓
Top School
Hyoungseok Kim is a Senior Software Engineer with seven years of experience at the intersection of machine learning research and production systems, currently building autonomous vehicle and computer vision solutions at NVIDIA in Seoul. He graduated top of his class from KAIST Engineering and completed graduate studies in machine learning at Seoul National University, blending rigorous academic foundations with hands-on engineering. His work spans deep learning, reinforcement learning, and high-frequency trading systems, and he was first author on the ICML long talk "EMI: Exploration with Mutual Information," a notable accomplishment among competitive submissions. Comfortable moving research into production, he previously developed HFT and RL infrastructure at Unnoted and interned on ML teams at SK Telecom and Kiswe Mobile. Colleagues describe him as a researcher-engineer who pursues elegant, measurable solutions and brings unusual breadth—from theoretical exploration strategies to latency-sensitive system design.
code7 years of coding experience
job4 years of employment as a software developer
bookMaster's degree, Computer Science, Machine Learning, Master's degree, Computer Science, Machine Learning at 서울대학교 (Seoul National University)
bookBachelor's degree, Computer Science, GPA: 4.16/4.3 (1st rank in KAIST, College of Engineering), Bachelor's degree, Computer Science, GPA: 4.16/4.3 (1st rank in KAIST, College of Engineering) at 한국과학기술원(KAIST)
languagesenglish, korean
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Github Skills (16)

assembly10
modular10
toolchain10
user-friendly9
angr9
clang9
security9
llvm9
reverse-engineering9
x86-649
rewriting9
apl9
elf9
compiler8
python8

Programming languages (5)

C++LLVMSWIGF#Python

Github contributions (5)

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SoftSec-KAIST/Reassessor

Jan 2022 - Dec 2022

Contributions:229 commits, 39 pushes, 2 branches in 10 months
B2R2-org/FunSeeker

Mar 2022 - Jul 2022

Contributions:17 commits, 10 pushes, 1 branch in 4 months
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