Summary
Ajaay Chandrasekaran is a Staff Robotics Engineer with a decade of experience building algorithms and software for autonomous systems, spanning motion planning, control, localization, mapping, and robot kinematics. He combines production C++ and Python expertise with a strong Linux and systems background, and has shipped safety-critical features for L2 autonomous driving at Stellantis including an emergency failover planner. His work bridges research and industry—prototyping algorithms in Jupyter, validating AUTOSAR components with GTest, and dissecting large OEM codebases to adapt them for new platforms. He holds an MEng in Robotics and a BSE in Computer Science from the University of Michigan and has a history of hands-on vehicle testing and sensor integration from academic projects. Curious and detail-oriented, he also mentors new engineers and has a personal tinkering ethos showcased on his site.
10 years of coding experience
8 years of employment as a software developer
Master of Engineering - MEng Electrical and Computer Engineering Robotics, Master of Engineering - MEng Electrical and Computer Engineering Robotics at University of Michigan
High School Diploma, High School Diploma at Novi High School
English, Spanish