Mouhyemen Khan is a Senior Software Engineer with a decade of experience building robotics and simulation systems, currently shaping warehouse automation at Symbotic. He brings deep expertise in simulation using NVIDIA Omniverse/Isaac Sim, SLAM, controls, planning, and latency-compensated perception from roles at Nokia Bell Labs and internships at iRobot. A Georgia Tech PhD candidate and former graduate researcher, he published and prototyped safe navigation methods combining supervised Gaussian processes with control barrier functions. He co-founded Qatar’s first robotics institute and has a track record of translating academic research into deployed robot algorithms for flying and ground platforms. Known among peers as a robotics enthusiast, he blends hands-on systems engineering with technical leadership across research and industrial settings. Outside work he favors building realistic simulation pipelines that accelerate hardware testing and reduce costly field trials.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at Georgia Institute of Technology
Bachelor of Science - BS Electrical and Computer Engineering, Bachelor of Science - BS Electrical and Computer Engineering at Texas A&M University
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