Summary
Woo Kim is a Computer Vision Research Engineer with nearly a decade of hands-on experience building ML pipelines, synthetic datasets, and real-time vision prototypes at companies including Meta and Microsoft. He blends deep academic grounding in biometrics with practical systems engineering—authoring high-performance Azure architectures, C# microservices, and hardware drivers for HCI demos. His work spans the full stack from embedded platforms (HoloLens, iPhone, Kinect) to cloud-scale model execution and deployment, and he has led small teams on fast-turnaround annotation and benchmarking projects. Notably, he has implemented research-driven AR and face/gesture algorithms in production-like prototypes and synthesized sensor-specific training data to improve robustness. An MBA complements his technical skillset, enabling him to bridge research, product strategy, and cross-functional delivery. Based in Bellevue, WA, he’s equally comfortable optimizing inference on devices and orchestrating large-scale vision workloads in the cloud.
9 years of coding experience
10 years of employment as a software developer
Master of Business Administration (M.B.A.), Master of Business Administration (M.B.A.) at UW Foster School of Business
Bachelor of Science (BS) Computer Engineering, Bachelor of Science (BS) Computer Engineering at University of Illinois Urbana-Champaign
Master's degree Biometry/Biometrics, Master's degree Biometry/Biometrics at Yonsei University
English, Korean, Japanese, Chinese