Ahmed Fayed
Machine Learning Engineer at IBM
San Jose, California, United States
Summary
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SeniorAhmed Fayed is a Senior AI Engineer based in California with eight years of experience building robotics and machine learning systems for high-stakes environments. He has led end-to-end, GPU-accelerated perception pipelines at NASA that achieved real-time 50 FPS inference on Full HD imagery and implemented ROS-based task planners for humanoid robots, demonstrating a blend of research rigor and production engineering. At Southwest Research Institute and IBM he continued to translate advanced models into deployable systems, while his USC work focused on satellite and space-debris detection using Faster R-CNN and Inception-ResNet architectures. He holds an MS in Intelligent Robotics & AI from USC and a BS in Computer Engineering from Purdue, pairing strong academic foundations with applied systems experience. Notably, Ahmed has driven multi-organization R&D collaborations and contributed flight-critical software for space missions, reflecting his ability to operate where safety, reliability, and performance converge.
9 years of coding experience
Github Skills (61)
python10
machine-learning10
ml9
tensorflow9
gpu9
deep-neural-networks9
neural-network9
deep-learning9
segmentation8
caffe7
robotics7
numpy7
nvidia7
image-recognition7
inference7
Programming languages (5)
Github contributions (5)
adfayed/aim_ros
Oct 2019 - Oct 2021
4-way 3-dedicated-lane autonomous intersection management system implemented in ros assuming fully autonomous (level 5) vehicles
Contributions:41 commits, 6 PRs, 34 pushes in 2 years
ros
usc-a-team/raceon
Mar 2019 - Jan 2020
Contributions:12 pushes, 1 branch in 9 months
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