Akshay Bhagat
About Akshay Bhagat
Akshay Bhagat is a Principal Engineer Team Lead at Motional, with a background in autonomous driving and robotics. He has contributed to various workshops and authored papers on motion forecasting and trajectory prediction.
Current Role at Motional
Akshay Bhagat currently serves as a Principal Engineer Team Lead at Motional, a position he has held since 2023. His role involves overseeing engineering teams and guiding the development of advanced technologies in the autonomous driving sector. Prior to this, he worked as a Prediction Software Engineer at Motional from 2021 to 2023, contributing to the company's efforts in enhancing predictive algorithms for autonomous vehicles.
Previous Experience in Autonomous Driving
Before joining Motional, Akshay worked at Aptiv as an Autonomous Driving Engineer from 2018 to 2020. His responsibilities included developing software solutions for autonomous driving systems. He also held a position as a Perception Software Engineer at the Hyundai-Aptiv Autonomous Driving Joint Venture for eight months in 2020, where he focused on perception technologies critical for self-driving vehicles.
Education and Academic Contributions
Akshay Bhagat is pursuing a Master of Science in Robotics Systems Development at Carnegie Mellon University, a program he has been involved with since 2016. He holds a Bachelor's Degree in Mechanical Engineering from the Birla Institute of Technology and Science, Pilani, which he completed in 2014. He has contributed to the academic community by authoring papers, including one on motion forecasting presented at NeurIPS '22 and another titled 'PBP: Path-based Trajectory Prediction for Autonomous Driving' for ICRA '24.
Early Career and Internships
Akshay's early career includes a role as a Robotics Software Engineer at American Robotics, Inc. in 2017 for three months. He also gained experience as a Mechanical Design Engineer at GreyOrange from 2014 to 2015 and completed a summer internship at Rane Group in 2012. These positions provided him with foundational skills in software and mechanical engineering, which he has built upon in his subsequent roles in the autonomous driving industry.
Research and Publications
Akshay has actively engaged in research related to autonomous driving technologies. He presented his research on agent importance prediction at the CVPR '22 Precognition Workshop. His work focuses on improving motion forecasting techniques and has been recognized in notable conferences, reflecting his commitment to advancing the field of robotics and autonomous systems.