Summary
Yejin Kim is a research engineer and roboticist with eight years of experience building embodied AI, robot perception, and interactive art installations that bridge ROS, Unity, and deep learning frameworks. Currently on the PRIOR team at the Allen Institute for AI, she combines academic rigor from Johns Hopkins and Cornell with hands-on systems work across industry labs including LG, Unity, and SRI. Her background spans perception for cobot manipulation and delivery robots, simulation and digital-twin development, and creative human-robot interaction projects—she’s built ROS wrappers, visual-servo controllers, and server bridges connecting Unity and robot fleets. Equally comfortable in Python, C#, and C++, she frequently mixes artistic practice with engineering, turning point-cloud maps and VR interfaces into tangible interactive experiences. Based in Seattle, she brings a rare blend of research-level perception expertise and creative systems design that enables novel embodied-AI applications.
8 years of coding experience