Shubham Garg is a research engineer specializing in robotic perception and 3D vision, currently driving research at Facebook after completing an MRSD master’s at Carnegie Mellon. With eight years of industry and research experience—including three years in software roles at Qualcomm and internships across robotics labs—he focuses on SLAM, 3D reconstruction, and camera-radar sensor fusion. He designed FusionNet during a Qualcomm internship to fuse camera and radar for improved 3D bounding-box detection, delivering measurable mAP gains, and has hands-on embedded experience from STM32 and Pixhawk integrations to visual-odometry systems. A gold-medalist B.Tech. in Electronics with strong academic performance, he blends rigorous theory with practical system-building across perception stacks and real-time robotics.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology (B.Tech.), Electronics and Communication, 9.68 (Gold medalist), Bachelor of Technology (B.Tech.), Electronics and Communication, 9.68 (Gold medalist) at National Institute of Technology Surat
Master of Science in Robotics System Development, 4.19, Master of Science in Robotics System Development, 4.19 at Carnegie Mellon University
Contributions:5 commits, 4 pushes, 1 branch in 1 year 2 months
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