Manash Das is a machine learning and robotics researcher-engineer with 11 years of experience, currently a Member of Technical Staff at xAI after contributing to special projects at Apple. His work bridges theoretical machine learning with search-based motion planning, grounded in hands-on robotics systems, perception, and localization developed during extensive research roles at Carnegie Mellon and JPL. He holds a master’s in Robotics Research from CMU and a dual degree from IIT Kharagpur, and has repeatedly translated academic ideas into deployable systems—from HoloLens mixed-reality inspection tools to MAV perception stacks. Known for tackling hard planning problems, he combines rigorous research instincts with production engineering skills that scale from prototypes to enterprise settings. An understated strength is his ability to move between low-level robotic sensing and high-level algorithm design, making him effective at both experimentation and productization.
11 years of coding experience
10 years of employment as a software developer
Master’s of Science Robotics Research, Master’s of Science Robotics Research at Carnegie Mellon University
Master of Technology and Bachelor of Technology Dual Degree Biotechnology, Master of Technology and Bachelor of Technology Dual Degree Biotechnology at Indian Institute of Technology, Kharagpur
Contributions:17 commits, 6 PRs, 6 pushes in 1 year 5 months
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