Kalie Ching is a research engineer specializing in reinforcement learning and visuomotor manipulation, currently advancing applied research at the RAI Institute after progressing from intern to Research Engineer II. With 11 years of experience rooted in a Computer Science degree from UC Berkeley, she pairs academic rigor—teaching and lab research in EECS and mechanical systems—with industry internships at Cruise, Microsoft, and NASA Ames. Kalie focuses on training policies that bridge perception and control for robotic systems, bringing practical autonomy engineering experience to research deployments. She blends hands-on prototyping and mentoring with a track record of moving ideas from academic labs into institutional research environments in the Bay Area.
11 years of coding experience
5 years of employment as a software developer
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at University of California, Berkeley
High School Diploma, High School Diploma at Santa Clara High School
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Kalie Ching - Research Engineer II at RAI Institute