Summary
Mohamed Elbayoumi is an AI/ML engineer with 8 years of experience building and deploying large-language-model systems and production ML infrastructure that handle millions of daily requests with sub-100ms latency. He has driven end-to-end MLOps and distributed training across multi-cloud environments, improving GPU utilization and enabling 99.9% uptime for NLP and computer vision services. His background spans applied research in NLP and computational linguistics—resulting in peer-reviewed publications—and hands-on delivery for industry clients where his forecasting and anomaly-detection models improved operational metrics by double digits. Comfortable bridging research and product teams, he routinely implements A/B testing, model versioning, and real-time monitoring to keep models reliable at scale. Based in Cairo, he pairs an MS in Data Science & AI with practical cloud expertise from AWS programs and nanodegrees in machine learning and computer vision, making him adept at turning cutting-edge research into robust, production-ready systems.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree Electronics & Communcations Engineering, Bachelor's degree Electronics & Communcations Engineering at Mansoura University
Master of Science - MS Data Science and Artificial Intelligence, Master of Science - MS Data Science and Artificial Intelligence at Innopolis University
Machine Learning Nanodegree, Machine Learning Nanodegree at Udacity
Arabic, English