Foad Hajiaghajani
Tech Specialist Software Engineer - AD ADAS Perception at Lucid Motors
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolFoad Hajiaghajani is a Tech Specialist Software Engineer focused on AD/ADAS perception, currently advancing localization, mapping, and tracking at Lucid Motors. He holds a PhD in Computer Science from the University at Buffalo and brings eight years of experience building robotic and embedded software that tightly integrates LiDAR, cameras, GNSS/IMU, and mobile connected systems. His background spans academic research and production engineering—from leading autonomous driving projects at the CAVAS lab to developing optimization algorithms for IoT and 5G during graduate research. Known for translating sensor fusion research into deployable perception stacks, he pairs rigorous publication‑grade research with hands‑on systems engineering. Based in San Francisco, he combines deep domain expertise in perception with practical experience shipping AD/ADAS software in automotive environments.
8 years of coding experience
6 years of employment as a software developer
Amirkabir University of TechnologyDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University at Buffalo
English, Spanish
Github Skills (90)
elevation10
ros10
occupancy10
rviz10
autonomous-vehicles9
simulator9
autonomous-driving9
pcl9
terrain9
lidar9
deep-reinforcement-learning8
robotics8
cpp8
opencv8
vehicle-detection8
Programming languages (6)
Github contributions (5)
zlg9folira/savari
Jan 2020 - Dec 2020
Contributions:18 commits, 17 pushes, 1 branch in 10 months
zlg9folira/convert_kitti_to_ros
Jan 2021 - Jan 2021
Contributions:29 commits, 32 pushes, 1 branch in 2 days
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