Summary
Laavanye Bahl is a Staff Software Engineer specializing in machine learning and perception for autonomous vehicles, bringing 12 years of hands-on experience across North America, Europe, and Asia. A CMU Robotics Institute graduate, she has led lidar, camera, and radar fusion efforts at Motional and now drives ML and computer vision projects at Rivian. She built and scaled first-of-team lidar stacks into multi-sensor detection pipelines, led company-wide ML reading groups, and earned Motional’s top “Mobilizer” award for cross-team impact. Early work includes founding roles on autonomous bus and EV projects in Singapore that passed formal self-driving tests, reflecting a rare blend of research, systems engineering, and hardware integration. Based in San Francisco, she combines academic rigor with startup grit and a proven track record of taking models from data collection through deployment on robo-taxis.
12 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Software Engineering, Bachelor of Technology (B.Tech.) Computer Software Engineering at Delhi Technological University (Formerly DCE)
Startup Accelerator, Startup Accelerator at AngelHack HACKcelerator
Barakhamba Road High School Science, Barakhamba Road High School Science at Modern School
Master of Science - MS Robotics Robotics Institute School of Computer Science, Master of Science - MS Robotics Robotics Institute School of Computer Science at Carnegie Mellon University