Yongsu Baek
Senior Machine Learning Engineer at HYPERCONNECT
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolYongsu Baek is a Senior Machine Learning Engineer based in Seoul with a decade of hands-on experience building ML systems, currently driving AI Lab MLE efforts at HYPERCONNECT. He holds an MS in Computer Science and a BS in Mathematical Sciences from KAIST, with an academic exchange at KIT, blending theoretical rigor with practical engineering. His background includes formative developer roles at SPARCS and an industry internship at Netmarble, giving him breadth across research, prototyping, and production deployment. Comfortable at the intersection of mathematics and engineering, he applies strong quantitative foundations to real-world ML problems like scalable inference and model engineering. Colleagues describe him as a practitioner who translates academic insights into reliable product features rather than a purely theoretical researcher.
10 years of coding experience
4 years of employment as a software developer
Exchange Student, Mathematics, Exchange Student, Mathematics at Karlsruher Institut für Technologie (KIT)Master's degree, Computer Science, Master's degree, Computer Science at 한국과학기술원(KAIST)Bachelor's degree, Mathematical Science, Bachelor's degree, Mathematical Science at Korea Advanced Institute of Science and Technology
Github Skills (27)
depth8
nas8
neural-architecture-search7
knn6
regression6
bayesian6
deep-learning5
machine-learning5
statistics5
architecture5
python5
pytorch5
automl4
clip4
tensorflow3
Programming languages (4)
Github contributions (5)
yongsu-bloo/AutoDL-Projects
Jan 2020 - May 2020
NAS-Bench-102 and 11 neural architecture search algorithms implemented in PyTorch.
Contributions:79 pushes, 4 branches in 4 months
pytorchnasdeep-learningneural-architecture-searchbench
yongsu-bloo/fast-autoaugment
Sep 2020 - Nov 2020
Official Implementation of 'Fast AutoAugment' in PyTorch.
Contributions:55 pushes in 2 months
pytorchautoaugment
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