Summary
Woo Kim is a seasoned computer vision research engineer with 11 years of experience delivering prototypes and ML pipelines across academia and industry. He currently contributes to advanced CV research at Meta, guiding end-to-end dataset synthesis, model training, evaluation, and demo deployments for human-computer interaction. At Microsoft, he built a high-performance Azure AI model execution cluster and led secure backend services with metrics and stress testing, bridging research prototypes and production systems. Earlier roles span embedded CV on iPhone, Kinect, and HoloLens, as well as leading annotation teams and contributing to open-source motion-detection algorithms such as C3D and darknet. He holds a BS in Computer Engineering from UIUC, an MS in Biometrics/Computer Vision from Yonsei, and an MBA from the University of Washington, reflecting both technical depth and business acumen. Based in Bellevue, WA, Woo combines cross-functional collaboration with hands-on engineering to translate complex CV research into scalable, user-centric experiences.
12 years of coding experience