Summary
Aram Hamidi is a machine learning and data scientist focused on making autonomous driving safer through perception. Based in Pasadena, CA, he brings eight years of experience spanning NASA JPL and Cruise Automation, with a strong emphasis on LiDAR-based perception, computer vision, and robotics. Currently, he works at NASA JPL in the Deep Learning Technologies group, weaving deep learning into Mission Control Systems to automate data/model integration and decision-making. His earlier work at Cruise targeted next-generation LiDAR solutions to sustain situational awareness for all levels of autonomous navigation. He holds an MSc in Robotics and has a solid foundation in SLAM, Kalman filters, PID control, and ROS, developed through research at Santa Clara University. An active AI/ML enthusiast on GitHub, he translates complex perception challenges into practical, production-oriented solutions that improve road safety.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.Sc.), Electrical and Electronics Engineering, Bachelor of Science (B.Sc.), Electrical and Electronics Engineering at Ferdowsi University of Mashhad
Master of Science, Electrical Engineernig - Robotics, Mechatronics & Controls, Master of Science, Electrical Engineernig - Robotics, Mechatronics & Controls at Santa Clara University