Summary
Nima Dehkordi is a Machine Learning Engineer based in Munich with eight years of experience applying deep learning and embedded systems expertise to autonomous driving, computer vision, and robotics. Currently at CARIAD, he focuses on ADAS and L3-L4 autonomy research, building on prior work that spans sensor fusion, pedestrian re-identification, and real-time edge deployments. He has a track record of turning research into production-ready systems—implementing ROS2/C++ shadow-testing prototypes, enhancing AUTOSAR Adaptive data collection, and optimizing lightweight DL models for embedded cameras. Comfortable across the stack, Nima blends MLOps and DevOps practices with hands-on firmware and CI/CD improvements, and he has steered teams as a Scrum Master in automotive projects. Notably, his master’s research on deep metric learning targeted vulnerable road users, reflecting a practical commitment to safety-driven perception innovations.
8 years of coding experience
3 years of employment as a software developer
M.Sc. degree, Embedded Systems Engineering, M.Sc. degree, Embedded Systems Engineering at The University of Freiburg
B.Sc. degree, Computer Hardware Engineering, B.Sc. degree, Computer Hardware Engineering at Shahid Beheshti University
High School, Mathematics, High School, Mathematics at National Organization for Development of Exceptional Talents
English, Persian, German