Can Cui is a Senior ML Robotics Engineer with a decade of hands-on experience building perception, prediction, and planning systems for self-driving vehicles at Cruise, following research internships with Uber ATG and engineering roles at Fitbit and Athos. Trained in Mechatronics at the University of Waterloo with exchange experience at TU Delft, he blends embedded systems and sensor-fusion expertise with production ML engineering to close the loop between models and real-world robotic behavior. His work focuses on reasoning about risk and uncertainty where prediction meets planning, and he has deep experience integrating ML into safety-critical autonomy stacks. Based in New York, he pairs researcher-level rigor from top-tier autonomous driving labs with practical firmware and hardware know-how, enabling end-to-end solutions from sensor processing to deployed vehicle software.
10 years of coding experience
4 years of employment as a software developer
IB Diploma, IB Diploma at International Baccalaureate
Exchange student, Exchange student at Delft University of Technology
Bachelor’s Degree, Mechatronics Engineering, Bachelor’s Degree, Mechatronics Engineering at University of Waterloo
Contributions:24 commits, 22 pushes, 1 branch in 9 months
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