Laavanye Bahl
About Laavanye Bahl
Laavanye Bahl is a Tech Lead and Senior Machine Learning Research Engineer currently working at Motional in Santa Monica, California. With a background in robotics and machine learning, Bahl has contributed to various projects in self-driving technology and has held positions at notable organizations including Google and Nanyang Technological University.
Work at Motional
Laavanye Bahl currently holds the position of Tech Lead and Senior Machine Learning Research Engineer at Motional, a role he has occupied since 2024. Prior to this, he worked as a Senior Machine Learning Research Engineer at the same company from 2022 to 2023. His responsibilities include leading projects that focus on the integration of advanced machine learning techniques in autonomous vehicle technology. Bahl's experience at Motional spans over three years, during which he has contributed to significant advancements in self-driving technology.
Education and Expertise
Laavanye Bahl earned a Master of Science in Robotics from Carnegie Mellon University, where he studied from 2018 to 2020. His undergraduate education includes a Bachelor of Technology in Computer Software Engineering from Delhi Technological University, completed from 2013 to 2017. Bahl specializes in the fusion of Lidar and Camera sensors, focusing on addressing critical on-road issues in self-driving technology. His academic background and research experience provide a solid foundation for his work in machine learning and robotics.
Background
Laavanye Bahl began his career as a Software Developer Intern at InsuringIndia in 2015. He gained further experience through internships at TCL&Alcatel Mobile Phone R&D Center and Practo in 2016. Bahl also participated in Google Summer of Code in 2016 as a Developer. He co-founded StampU in 2014, demonstrating his entrepreneurial skills. His early career included a role as a Robotics Visiting Researcher at Volvo Trucks in 2018 and a Machine Learning Research Intern at Aptiv in 2019.
Achievements
During his time at Carnegie Mellon University, Laavanye Bahl worked on a diverse range of robotic systems, including consumer robots, home robots, self-driving vehicles, manipulators, and drones. His research and development efforts have focused on real-time applications in robotics, contributing to advancements in the field. Bahl's work has been recognized for its state-of-the-art approach to solving complex problems in autonomous systems.