Mayavan Sathyam is a software engineer in California with 9 years of experience focused on robotics, perception, and autonomous driving systems. Currently at Zoox, he brings hands-on expertise in multimodal sensor fusion and machine vision built during prior roles at Panasonic Automotive and research work at the University of Maryland developing embedded MEMS systems. He holds a Master’s in Robotics and a B.E. in Embedded Systems, combining academic rigor with production-grade engineering. Known for bridging low-level embedded work and higher-level perception stacks, he excels at turning research prototypes into robust automotive software. An engineer who thrives at the intersection of hardware and perception software, he favors pragmatic solutions that scale from lab demos to vehicle integration.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Robotics, Master's degree, Robotics at University of Maryland
Bachelor of Engineering (B.E.), Embedded Systems, Bachelor of Engineering (B.E.), Embedded Systems at St. Joseph's College Of Engineering
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