Neil Zarghami
Sensor Fusion Engineer @Ecocar Ev Challenge
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WORK HISTORY
Sensor Fusion Engineer @Ecocar Ev Challenge
Led multi-modal sensor fusion algorithm development (LiDAR, radar, RGB) using point cloud, CAN, and camera data in collaboration with General Motors and the U.S. Department of Energy- Trained PyTorch deep fusion neural networks with LiDAR supervision to predict 3D occupancy from monocular inputs to improve IoU for autonomous vehicle perception mapping- Designed CARLA-ROS SIL/HIL testing framework that pipelines perception into behavior planner, enabling closed-loop validation of ADAS and L2+ autonomy features- Decoded 5k+ CAN messages into custom C++/Python binary structs for real time data analysis across RTMaps and AV simulation tools.
EDUCATION
Los Angeles Valley College
Associate of Science - AS
University of California, Riverside
Master of Science - MS
University of California, Riverside
Bachelor of Science - BS
ABOUT NEIL ZARGHAMI
Electrical Engineer | Signals, Systems, & Machine Intelligence
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