Experienced automotive and mobility consultant with over 18 years of diverse experience in strategic planning, research, and technology & management consulting, with a strong focus on smart mobility solutions, alternate propulsion technologies (electric, hydrogen, sustainable fuels), and advanced automotive technologies. An incisive understanding of the ever-evolving market technology and consumer trends and their implications for products and services. Led multiple consulting project studies across topics such as on electrification, digital technologies, market fit and technology forecast, organization benchmarking, M&A due diligence, strategic sourcing, manufacturing business case, consumer behaviors, competitor benchmarking and solutions. Adept at leading global teams and collaborating across departments and stakeholders to achieve business objectives.

Sudeep Fadadu is a Staff Engineer and Tech Lead at Aurora, where he develops fail-safe perception systems for self-driving vehicles. Sudeep has 10+ years of experience building algorithms for motion prediction, object detection, and sensor fusion technologies. Before joining Aurora, Sudeep was a research engineer at Vicarious AI (now part of Alphabet), where he developed closed loop AI control system and target tracking system for robotic arm platforms. He holds masters in computer vision from Carnegie Mellon University where he specialized in Machine Learning and Geometry based Computer Vision.

The Pop in Your Job – What drives you? Why do you love your job?
The challenge of safely integrating these powerful technologies into society is what truly drives me. I'm drawn to the development of novel approaches that can ensure AI-based automation is not only powerful but also safe, scalable, and truly beneficial to all. What excites me most is bridging the gap between theoretical safety standards and practical implementation of those in ML based systems. It's the opportunity to make a tangible, positive impact on the world that I love about my job.

Hands on leader in Autonomous Driving industry, expertise in both hardware (camera, radar, lidar, ultrasonics, control modules) and software (computer vision). Lead cross-functional teams to deploy large-scale production systems.