Seungkwan Lee
Machine Learning Engineer at Deeping Source Inc.
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolSeungkwan Lee is a seasoned machine learning engineer with nine years of experience applying deep learning to computer vision. He has led practical ML work at Deeping Source Inc. as a Machine Learning Engineer (2021–2024) and previously conducted research at POSTECH's Computer Vision Lab on object detection and visual tracking. He is proficient in Python and PyTorch and adept at translating cutting-edge research into production-ready solutions. While at POSTECH, he explored bounding-box regression generalization to unseen classes and co-authored a paper published in ACCV2018 under Prof. Minsu Cho. Based in Seoul, South Korea, he holds a BE in Computer Science from Soongsil University and a Master's in Computer Engineering from POSTECH. He continues to blend academic rigor with hands-on development to advance practical computer vision systems.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Soongsil UniversityMaster's degree, Computer Engineering, Master's degree, Computer Engineering at POSTECH
English, Korean
Github Skills (7)
siamese-network6
computer-vision5
deep-learning3
object-detection3
object-tracking3
pytorch1
development-kit1
Programming languages (1)
Github contributions (5)
deneb2016/UBR
Apr 2018 - Apr 2018
Contributions:1 commit, 106 pushes, 1 branch in 1 day
yesanswer/voissu-client
Jun 2016 - Jun 2016
Contributions:26 pushes in 5 days
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