Sungyeon Kim
Applied Scientist at Amazon
California, United States
Summary
👤
Senior🎓
Top SchoolSungyeon Kim is an Applied Scientist on Amazon’s Visual Search Team with a PhD in Computer Science and Engineering from POSTECH and nine years of experience bridging deep learning research and large-scale retrieval systems. Their research expertise centers on deep metric learning, representation learning, and retrieval, applied to practical problems in visual search and recognition. Transitioning from a long PhD trajectory into industry via an Applied Science internship at Amazon, they specialize in turning academic advances into production-ready search solutions. Based in California, they combine rigorous academic training with hands-on experience in building scalable, retrieval-focused ML pipelines. An interesting detail: their extended doctoral work under Prof. Suha Kwak reflects deep domain expertise that now informs product-scale visual search innovations at Amazon.
9 years of coding experience
Bachelor's degree, Undergraduate Studies, Bachelor's degree, Undergraduate Studies at DGISTDoctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at 포항공과대학교
Github Skills (15)
metric-learning10
loss10
contrastive-learning10
image-retrieval10
anchor9
self-supervised-learning9
proxy9
pytorch9
computer-vision8
extensible7
machine-learning7
deep-learning6
modular6
python2
embedding1
Programming languages (1)
Github contributions (5)
tjddus9597/STML-CVPR22
Jul 2022 - Aug 2022
Contributions:28 commits, 25 pushes, 1 branch in 1 month
tjddus9597/Beyond-Binary-Supervision-CVPR19
Jul 2019 - Apr 2020
Contributions:38 commits, 37 pushes, 1 branch in 8 months
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