Dikpal Reddy
About Dikpal Reddy
Dikpal Reddy is a Senior Principal Engineer Lead at Motional, with extensive experience in software engineering and computer vision. He has held various leadership roles at companies including Meta and Argo AI, focusing on localization, mapping, and calibration in autonomous systems.
Work at Motional
Dikpal Reddy currently serves as Senior Principal Engineer Lead at Motional, a position he has held since 2023. In this role, he leads three Autonomy teams that focus on Localization, Mapping, and Calibration. His responsibilities include overseeing the development and implementation of advanced algorithms and technologies that enhance the capabilities of autonomous vehicles.
Previous Experience at Meta
Before joining Motional, Reddy worked at Meta in various engineering roles. He served as a Software Engineering Manager from 2022 to 2023 and as a Tech Lead Manager from 2021 to 2022. During his tenure, he led a team responsible for building and shipping the Movement SDK, contributing to the development of innovative software solutions.
Experience at Argo AI
Reddy worked at Argo AI as a Senior Software Engineering Manager, focusing on Calibration and Localization from 2020 to 2021. Prior to that, he held the position of Technical Lead Manager for Calibration and Sensor Integrity from 2018 to 2020. His work involved overseeing the integration of sensor technologies and ensuring the accuracy of localization systems in autonomous vehicles.
Education and Expertise
Dikpal Reddy holds a PhD in Electrical and Computer Engineering from the University of Maryland, where he studied from 2005 to 2011. He also completed postdoctoral research at the University of California, Berkeley, from 2011 to 2013. His academic background is complemented by a B.Tech in Electrical Engineering from the Indian Institute of Technology, Kanpur. Reddy has a strong interest in the intersection of hardware and software in computer vision, particularly in geometric computer vision, low-level computer vision, sensors, and signal processing.
Research Contributions
Reddy has published research in prominent conferences and journals, including CVPR, ICCV, ECCV, SIGGRAPH, and PAMI. His research focuses on computational and light field cameras, computational displays, and various aspects of computer vision. He has also gained experience in shipping computational imaging algorithms for multi-camera consumer products, such as the Light L16 and Nokia 9 Pureview.