Deepanshu Bansal is a robotics-focused software engineer with six years of hands-on experience building autonomy stacks for ground and aerial vehicles, from motion planning and probabilistic tracking to fleet management and recovery strategies. He has helped bring autonomous cargo and service vehicles to operational readiness at AeroVect and Serve Robotics, and has implemented ROS-based systems, Gazebo integrations, and AWS-backed fleet telemetry in production settings. With an M.Eng. in Robotics and AI from the University of Toronto and a background in embedded systems, he bridges low-level firmware and high-level planning, having also led a university AV motion-planning team and managed junior engineers. Notably, he has shipped multidisciplinary solutions—like a Docker-deployed ROS stack for industrial manipulators and waypoint-following motion planners on commercial self-driving fleets—demonstrating an ability to move research into deployed products.
6 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (B.Tech.) Electrical Engineering, Bachelor of Technology (B.Tech.) Electrical Engineering at Delhi Technological University (Formerly DCE)
Master of Engineering Robotics and AI, Master of Engineering Robotics and AI at University of Toronto
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