Summary
Ammar Rashed is a Head of Data Science and PhD candidate in Computer Science at the University of Ottawa with a decade of experience building and operationalizing ML systems across academia, startups, and enterprise. He combines hands-on research—publishing multimodal engagement datasets and real-time measurement frameworks—with product-focused delivery such as production CV systems, PySpark ETL pipelines, and AWS ML deployments. Ammar has led AI training programs and technical strategy for large-scale, multimodal AI services, translating cutting-edge research in transformers, graph CNNs, and uncertainty quantification into practical solutions for clients and students worldwide. A top-rated Upwork consultant and educator who has taught 750+ lessons, he blends rigorous publishing credentials with measurable business impact (e.g., price-optimization and credit-risk automation). Based in Canada, he uniquely marries deep technical breadth—NLP, computer vision, Bayesian methods—with hands-on lab and infrastructure management, making him effective at taking models from prototype to production and compliance-ready deployments.
10 years of coding experience
9 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Özyeğin University
PhD Computer Science, PhD Computer Science at University of Ottawa
Bachelor of Science - BSc Computer Science and Engineering, Bachelor of Science - BSc Computer Science and Engineering at İstanbul Şehir University
English, Arabic, Turkish, French