Omar Ayman is a data scientist with eight years of experience applying machine learning and graph analytics across financial services, healthcare, and tech, currently detecting fraud and financial crime at blockchain leader TRM Labs. He has a track record of productionizing end-to-end models and APIs—from feed ranking and comment-generation bots to credit risk and sales-forecasting systems—delivering measurable business impact (e.g., +30% fraud detection, 30% retention lift, and ~7–8% prediction errors). He pairs academic training in computer engineering with practical AI credentials and a history of tackling supply-chain optimization, ride-hailing dispatch efficiency, and customer segmentation projects. Comfortable moving models from research into robust software, Omar blends deep learning, graph algorithms, and pragmatic engineering to solve high-stakes, real-world problems.
8 years of coding experience
5 years of employment as a software developer
Artificial intelligence diploma, Artificial Intelligence, Artificial intelligence diploma, Artificial Intelligence at Microsoft
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Ain Shams University
Bachelor's degree, Electronics and Communications Engineering, Bachelor's degree, Electronics and Communications Engineering at Misr International University
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