Mohamed Abdallah is an AI Team Lead with 11 years of experience building and deploying high-performance machine learning and deep learning systems across cloud and edge environments. He has led AI teams at BlackStone eIT and Etisalat Egypt, architecting production pipelines that span NVIDIA DGX/Jetson devices and AWS SageMaker, S3, and Lambda integrations. Known for shipping fast, accurate models in Python, he combines hands-on engineering with team leadership to move prototypes into scalable production. His background includes CRM-focused AI solutions and online learning systems built from feedback data, reflecting a strong practical grasp of data-driven productization. Based in Cairo, Mohamed holds an MS in Computer Science and blends big-data familiarity with embedded inference experience—an uncommon mix that enables end-to-end ML delivery from edge devices to cloud endpoints.
11 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Electrical, Electronics and Communications Engineering, Bachelor’s Degree, Electrical, Electronics and Communications Engineering at Mansoura University
Master of Science - MS, Computer Science and Informatics, Master of Science - MS, Computer Science and Informatics at Nile University - NU
Email Spam-detection is an ANN app with TensorFlow. The idea is simple - given an email you’ve never seen before, determine whether or not that email is Spam
Contributions:23 commits, 4 PRs, 18 pushes in 1 year 10 months
Contributions:5 commits, 1 push, 1 branch in 2 months
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