Sourabh Vora
About Sourabh Vora
Sourabh Vora is a Principal ML Research Engineer and Team Lead for Perception at Motional, where he leads a team focused on developing machine learning models for 3D object detection. With a background in electrical and computer engineering, he has extensive experience in the field of autonomous vehicles and machine learning.
Current Role at Motional
Sourabh Vora serves as Principal ML Research Engineer and Team Lead for Perception at Motional. In this role, he leads a team of 12 research engineers dedicated to developing machine learning models for 3D object detection. The team integrates data from various sensors, including lidar, images, and radars, to enhance the perception capabilities of autonomous vehicles. He has been in this position since 2021 and continues to contribute to advancements in the field.
Previous Experience at Motional
Before his current role, Sourabh Vora worked at Motional as a Senior ML Research Engineer and Team Lead for Perception from 2020 to 2021. His tenure included a focus on machine learning applications in autonomous vehicle technology. He initially joined Motional as a Senior ML Research Engineer in 2020, where he contributed to various projects for approximately nine months.
Professional Background in Machine Learning
Sourabh Vora has a robust background in machine learning, having previously worked at Aptiv as an ML Research Engineer from 2018 to 2020 and at nuTonomy from 2017 to 2018. His experience spans multiple roles in Santa Monica, California, where he focused on advancing machine learning techniques in the context of autonomous systems. He began his career in the field as an intern at Broadcom from 2014 to 2015.
Education and Expertise
Sourabh Vora holds a Master’s Degree in Electrical and Computer Engineering from the University of California, San Diego, where he studied from 2015 to 2017. He also earned a Bachelor’s Degree in Electronics and Communication Engineering from BITS Pilani, completing his studies from 2010 to 2015. His educational background provides a strong foundation for his expertise in machine learning and computer vision.
Research Contributions and Focus
Sourabh Vora has an active Google Scholar profile, indicating his contributions to the fields of machine learning and computer vision. His research focuses on fusing multiple sensor modalities to improve perception in autonomous vehicles. He emphasizes the importance of diverse data for AV modeling and addresses challenges such as distracted driving, which impacts safety. His work involves training perception systems using machine learning principles.