Junsik Kim
Summary
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SeniorJunsik Kim is an Applied Scientist at Amazon AGI with nine years of research and engineering experience bridging academic rigor and production-grade AI. He completed a Ph.D. in computer vision at KAIST and served as a postdoctoral fellow at Harvard SEAS, where he focused on audio-visual, multimodal, and multi-task learning under Prof. Hanspeter Pfister. Junsik’s work blends deep learning research with practical system considerations, informed by industry experience including a research internship at Hikvision USA. Based in Bellevue, WA, he brings a track record of advancing multimodal perception methods that are directly relevant to large-scale AGI efforts. Notably, his career path emphasizes sustained collaboration between top-tier academia and industry, enabling rapid translation of novel vision–audio ideas into applied settings.
9 years of coding experience
Github Skills (14)
few-shot-learning8
self-supervised-learning7
meta-learning7
transfer-learning7
baduk6
rl-environment5
logos5
tkinter5
simulation4
go3
python3
reinforcement-learning3
reimplementation3
elf2
Programming languages (3)
Github contributions (5)
mibastro/VPE
Mar 2019 - Aug 2019
VPE logos
Contributions:6 commits, 6 pushes, 11 comments in 5 months
meta-learningtransfer-learningvpelogosself-supervised-learning
mibastro/MMIVF
Jun 2024 - Oct 2024
Contributions:1 push, 1 branch in 3 months
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