Summary
Taemin Kim is a Staff Software Engineer in the San Francisco Bay Area with 15 years of experience applying computer vision, robotics, and statistical learning to real-world systems from AR displays to planetary mapping. He has led calibration and sensor-fusion innovations at Magic Leap and Microsoft HoloLens—creating digital-twin validation pipelines, biphase display runtime calibration, and fast spiral feature search algorithms that improved engineering workflows without degrading user experience. His background spans NASA planetary imaging and rover navigation to model-based RL for legged robots, combining deep research rigor (PhD-level work) with production-grade software engineering. Taemin is known for pragmatic, cross-disciplinary solutions—e.g., blending robotic control data with AI-driven calibration—and for inventing practical estimation methods like least posterior entropy for model/data selection.
16 years of coding experience