I’m a PhD student at Carnegie Mellon University (CMU) advised by Sebastian Scherer. Research interests lie in classical and modern deep-learning based computer vision to build generalizable and efficient perception systems and semantic scene representations to empower field robots.

Before joining the PhD program, I received my B.S in Computer Engineering from KAU in 2020 ranking 1st amongst my engineering chort securing a scholarship to pursue graduate studies. I then worked as a research software engineer at KAUST accelerating distributed deep learning under Marco Canini. Afterwards, I joined CMU ECE for my M.S in 2022 where I worked in the Artificial Intelligence for Vision and Biometrics Center under Marios Savvides on self-checkout systems, produce reconstruction, product ReID, detection, and synthetic data generation.

Master the basics, avoid hype, and build reliable perception systems.