Summary
Surabhi Verma is a Calibration Software Engineer based in San Francisco with 10 years of experience building perception, localization, mapping, and calibration systems for robotics and autonomous platforms. She has applied both classical and deep learning techniques to deliver real-time Lidar-Inertial Odometry, camera-lidar extrinsic calibration, and Kalman-filtered 3D tracking for pedestrian safety and edge deployments. Her background spans industry and academia—from Magic Leap and Velodyne Lidar to research at the University of Maryland and the University of Sydney—where she automated robust calibration workflows that work even with low-beam lidars. Surabhi is passionate about making perception systems computationally efficient by fusing sensor modalities and innovating feature-extraction and joint-fusion methods. She combines hands-on implementation and benchmarking with a research-minded approach, evidenced by high recall cross-view localization and practical contributions to VDK safety features. Pragmatic and curious, she often targets solutions that reduce manual input while maintaining accuracy in challenging real-world scenes.
9 years of coding experience
3 years of employment as a software developer
Kendriya Vidyalaya Sangathan
Bachelor of Technology (BTech), Electrical and Electronics Engineering, Bachelor of Technology (BTech), Electrical and Electronics Engineering at Visvesvaraya National Institute of Technology
Master's degree, Robotics, Master's degree, Robotics at University of Maryland
English, Hindi, Tamil, basic german