Klemen Kotar is a CS PhD student at Stanford with a decade of hands-on experience building embodied AI, computer vision, and robotics systems that learn continuously from the world. His work bridges rigorous research and engineering—spanning state estimation and RCNN-based object localization to reinforcement learning agents that actively control gaze and perception. Prior roles include a Predoctoral Young Investigator at AI2 and research positions at UW where he scaled parallel PyTorch training across GPUs and extended core parallelism primitives. He also led controls and real-time systems for UW Hyperloop and has industry internships at Tesla and Stanford, demonstrating an ability to move between fast-paced product engineering and long-horizon research. Based in Seattle, he combines deep systems skills with a focus on physical scene understanding and lifelong learning, often tackling the tooling and infrastructure needed to make research reproducible and performant.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Washington
Engineering, Engineering at Valley Christian High School
Contributions:1048 pushes, 1 branch in 1 year 7 months
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