Jaeguk Hyun
Software Engineer at Applied Intuition
Seoul, South Korea
Summary
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Rockstar🎓
Top SchoolJaeguk Hyun is a software engineer specializing in robotics, autonomy, and AI with four years of professional experience across defense, semiconductor, and medical imaging domains. Currently at Applied Intuition, he builds robotics and autonomy systems after designing large-scale inference and model monitoring pipelines for Lunit and contributing training framework architecture and SOTA model integrations at Intel. His background includes practical 2D/3D detection and tracking work for embedded and robotic platforms at KAIST and the Agency for Defense Development, giving him strong end-to-end skills from research to production deployment. Based in Seoul, he combines systems-level engineering with ML research, particularly in making complex models operational at scale and on-device. An understated strength is his track record of turning research prototypes into robust inference pipelines across diverse hardware and modalities.
3 years of coding experience
4 years of employment as a software developer
Bachelor's Degree, Electronic Engineering, Bachelor's Degree, Electronic Engineering at Korea Advanced Institute of Science and Technology
Github Skills (50)
x3d10
pytorch10
benchmark10
text-recognition10
anomaly-detection10
image-classification10
re-identification10
incremental-learning10
openmmlab10
machine-learning10
openvino10
video-understanding10
sift10
super-resolution10
semi-supervised-learning10
Programming languages (2)
Github contributions (5)
jaegukhyun/mmaction2
Aug 2022 - Dec 2023
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Contributions:30 PRs, 36 pushes, 12 branches in 1 year 4 months
pytorchnext-generationunderstandingtoolboxbenchmark
jaegukhyun/training_extensions
Mar 2023 - May 2024
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Contributions:3 PRs, 455 pushes, 187 branches in 1 year 2 months
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