Shubham Shrivastava
About Shubham Shrivastava
Shubham Shrivastava is the Head of Machine Learning at Kodiak, focusing on vision-centric 3D perception solutions. He has extensive experience in machine learning and computer vision, having held significant roles at companies such as Ford Motor Company and Renesas Electronics.
Work at Kodiak Robotics
Shubham Shrivastava serves as the Head of Machine Learning at Kodiak Robotics, a position he has held since 2023. In this role, he focuses on developing vision-centric 3D perception solutions, which are critical for the advancement of autonomous driving technologies. His expertise in machine learning and computer vision is integral to Kodiak's mission of creating safe and efficient self-driving systems.
Previous Experience in Autonomous Driving
Prior to his current role, Shrivastava worked at Ford Motor Company for three years as a Senior Research Scientist in Machine Learning and Computer Vision, specifically for autonomous vehicles. He also held the position of Technical Expert and Lead in 3D Perception at Ford, where he developed an end-to-end 3D Perception stack for L2+ vehicles. His earlier experience includes roles at Renesas Electronics and Changan US R&D Center, where he contributed to advanced driver-assistance systems and connected autonomous vehicle research.
Education and Expertise
Shrivastava holds a Master of Science in Electrical Engineering from The University of Texas at Arlington, where he studied from 2014 to 2016. He also completed a Graduate Program in Artificial Intelligence at Stanford University from 2020 to 2022. Additionally, he has earned multiple nanodegrees from Udacity, including in Self-Driving Car Engineering, Sensor Fusion, and Deep Reinforcement Learning. His educational background supports his expertise in machine learning and computer vision.
Patents and Publications
Shrivastava has authored multiple patents and publications in the fields of machine learning and computer vision. His contributions to these areas reflect his commitment to advancing technology in autonomous systems. His work includes leading the creation of a scalable cloud-based machine learning framework at Ford, which streamlined various machine learning tasks.
Professional Recognition
Shrivastava is recognized as an IEEE Senior Member, a designation that signifies a high level of professional achievement and recognition in the engineering and technology fields. This status reflects his contributions and influence in the areas of machine learning and autonomous driving.