Summary
Karam Abughalieh is a Senior Software Engineer with a decade of experience specializing in computer vision, deep learning, and microcontroller-based embedded systems, currently working at Bosch USA in the automotive space. He holds a PhD in Electrical and Computer Engineering and a Udacity Self-Driving Car Nanodegree, combining rigorous research skills with hands-on embedded deployment on platforms like Jetson TX1/TX2. His background spans developing pedestrian orientation estimation, real-time image stitching acceleration with CUDA, autonomous robot navigation using CNNs and YOLOv3, and CAN protocol implementations for vehicle communications. Karam’s career blends industry roles at Magna and Bosch with research work that produced prize-winning self-driving competition entries and medical image reconstruction projects. Comfortable moving models from prototype to constrained embedded hardware, he brings practical expertise in optimizing vision pipelines for real-time automotive applications. Based in Rochester, Michigan, he’s seeking to continue advancing automotive software where deep learning meets embedded systems.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Science (B.S.), Communication Engineering, 3.89, Bachelor of Science (B.S.), Communication Engineering, 3.89 at Princess Sumaya University for Technology
Nanodegree, Self-Driving Car Engineer, Nanodegree, Self-Driving Car Engineer at Udacity
Doctor of Philosophy - PhD, Electrical and Computer Engineering, 3.83, Doctor of Philosophy - PhD, Electrical and Computer Engineering, 3.83 at Oakland University
English, Arabic