Yonghyun Kim

Senior Applied Scientist at Gauss Labs

Gyeonggi, South Korea
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Summary

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Senior
🎓
Top School
Yonghyun Kim is a Senior Applied Scientist with eight years of experience specializing in computer vision and machine learning, holding a PhD in Computer Engineering from POSTECH and a BS from Korea Aerospace University. He has progressed from research scientist roles at Kakao and Kakao Enterprise to leading applied research at Gauss Labs, focusing on deep metric learning, object detection, and face recognition. His profile blends rigorous academic training with product-oriented research, driving practical solutions that bridge state-of-the-art algorithms and real-world applications. Based in Gyeonggi, South Korea, he brings proven expertise in deploying and refining vision models in commercial settings and a strong foundation in research-led innovation. An often overlooked strength is his aerospace-rooted undergraduate background, which contributes to disciplined problem framing and systems thinking.
code8 years of coding experience
job2 years of employment as a software developer
book박사, Computer Engineering, 박사, Computer Engineering at 포항공과대학교
book학사, Computer Engineering, 학사, Computer Engineering at 한국항공대학교
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Github Skills (19)

python-extension8
image-retrieval8
visual-studio-code8
electron7
typescript7
regularization7
julia6
editor5
metric-learning5
mxnet5
python5
microsoft5
javascript5
pytorch5
mobile4

Programming languages (4)

TypeScriptC++MATLABPython

Github contributions (5)

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kakaoenterprise/AAAI2021_MDR

Feb 2021 - Jun 2021

Official Code of AAAI 2021 Paper "Multi-level Distance Regularization for Deep Metric Learning"
Contributions:6 commits, 2 PRs, 3 pushes in 4 months
metric-learningregularizationdeep-metric-learningpytorchaaai2021
gkyh0805/DetectorWithFocus

Nov 2017 - Aug 2018

Contributions:3 PRs, 4 pushes, 2 branches in 9 months
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