Harshit Sankhla is a Senior Engineer based in Bengaluru with 10 years of experience building autonomy, robotics, and embedded systems spanning perception, state estimation, and real-time deployment on edge hardware. He has delivered end-to-end ADAS and autonomous vehicle capabilities—BEV perception, visual-inertial state estimation, and model optimization—for deployment on platforms like NVIDIA Jetson and Qualcomm SNPE. Prior roles include leading robotics automation and vision-based appraisal systems that cut manual labor by over 75%, and hands-on ROS/MoveIt development for manipulators and gantry systems. An active contributor to the flagship ArduPilot project, he improved SITL sensor simulation and EKF lane-switching tests, reflecting deep familiarity with avionics-grade navigation stacks. He combines academic research (IIIT Hyderabad MSR) with practical embedded work across startups and industry, and brings a proven knack for squeezing real-time performance out of constrained hardware. Notably, he pairs model-level expertise with low-level systems engineering—bridging perception research and production deployment.
10 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree (Gold Medalist), Mechatronics Engineering, Bachelor’s Degree (Gold Medalist), Mechatronics Engineering at The LNM Institute of Information Technology
Master of Science - MS by Research, Robotics Research Center, Master of Science - MS by Research, Robotics Research Center at IIIT Hyderabad
Contributions:10 reviews, 14 commits, 9 PRs in 2 months
Contributions summary:Harshit contributed to the simulation environment for the ArduPilot project, focusing on enhancing the capabilities of the "SITL" (Software-In-The-Loop) simulation. Their work involved adding parameters for multiple barometers, simulating airspeed sensor behavior, and implementing a test for EKF3 lane switching. The changes included modifications to the SITL code, parameter definitions, and logging structures to support the new features. The contributions primarily targeted the simulation of sensor data and the EKF3 navigation system for testing and development.
Contributions:4 PRs, 7 pushes, 5 branches in 2 years 5 months
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