Summary
Ahmed Osman is a Machine Learning Engineer with 11 years of industry and academic experience building production ML systems for integrity, recommendations, risk and fraud across companies including Meta, Instagram and Zalando. He combines deep research in multi-modal learning, explainable AI and compression from Fraunhofer with hands-on MLOps and real-time inference engineering that protected billions in transactions and improved VQA models by double-digit margins. Comfortable spanning the stack, he has delivered APIs, real-time messaging and automated ingestion pipelines that cut response times 24x and deployed compressed models for edge-friendly inference. Based in London, he brings both academic rigor and product-first pragmatism, uniquely blending adversarial and self-supervised research with large-scale recommendation and integrity applications.
11 years of coding experience
8 years of employment as a software developer
Master of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at The University of Freiburg
Bachelor of Engineering - B.Sc.(Eng) Computer and Communication Engineering, Bachelor of Engineering - B.Sc.(Eng) Computer and Communication Engineering at Alexandria University
Arabic, German, English, French