Jinsoo Choi
Machine Learning Video Engineer at Apple
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJinsoo Choi is a Machine Learning Video Engineer at Apple with nine years of experience specializing in computer vision and deep learning for video — including super-resolution, optical flow, and frame interpolation. He holds BS, MS, and PhD degrees in Electrical Engineering with a focus on computer vision from KAIST, bringing deep academic rigor to production ML systems. Based in San Francisco, he applies research-led methods to real-world video problems, bridging state-of-the-art models and scalable deployment. Known for translating complex vision algorithms into efficient implementations, he focuses on latency, fidelity, and robustness in consumer-facing pipelines. His background at a top-tier research institution plus hands-on industry experience makes him adept at both inventing new techniques and integrating them into large-scale products. An international upbringing and long-term immersion in video ML give him a nuanced perspective on cross-cultural product design and multimodal data challenges.
10 years of coding experience
The American International School • ViennaBS, Electrical Engineering, BS, Electrical Engineering at Korea Advanced Institute of Science and Technology
Korean, English
Github Skills (10)
video-stabilization10
siggraph10
pytorch9
optical-flow7
depth7
depth-estimation6
git6
github5
interpolation5
computer-vision3
Programming languages (2)
Github contributions (5)
jinsc37/jinsc37.github.io
Nov 2016 - Jun 2020
Contributions:4 PRs, 100 pushes, 5 branches in 3 years 7 months
jinsc37/DIFRINT
Jun 2020 - Apr 2021
TOG20/SIGGRAPH Asia19 "Deep Iterative Frame Interpolation for Full-frame Video Stabilization" - PyTorch
Contributions:1 review, 14 commits, 1 PR in 10 months
pytorchsiggraphvideo-stabilization
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