Omar Alama is a computer engineer and PhD student in Computer Vision & Perception at Carnegie Mellon University with nine years of combined industry and research experience. Currently an Applied Scientist II Intern at Amazon Lab126 and a research assistant at CMU’s AirLab, he bridges systems, networks, and computer architecture with applied vision to build resource-efficient, high-performance ML systems. A KAU valedictorian, he has contributed to both academia and industry R&D—work that spans accelerating distributed deep learning to deploying vision models for real-world domains like smart cities and healthcare. He is equally focused on the full MLOps lifecycle, from model R&D to deployment and monitoring, enabling practical impact beyond prototypes. Colleagues value his rare cross-stack fluency, which lets him optimize algorithms with hardware-aware and systems-level insights.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at King AbdulAziz University
Doctor of Philosophy - PhD ECE (Computer Vision & Perception), Doctor of Philosophy - PhD ECE (Computer Vision & Perception) at Carnegie Mellon University
A light weight java program for linux users that makes managing and monitoring servers (MC servers in particular) extremely easy.
Contributions:58 commits, 1 PR, 55 pushes in 2 years 10 months
light-weightparticularlightlinux-userslinux
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