Hany Salaheldeen is a Staff Machine Learning Engineer with 13+ years of experience building and deploying large-scale ML systems across Amazon, Microsoft, and Coupang, plus a PhD focused on information retrieval and user intention in social media. He has led production-facing efforts in facial recognition and clustering, marketing attribution, recommendation and ranking, and contextual language understanding, and more recently works on LLMs, machine translation, and multimodal models. A repeat instructor of graduate ML courses, he blends rigorous academic research with hands-on productization—taking models from experimentation to production, patents, and publications. Notably, his doctoral work on temporal user intention informs practical solutions for modeling user behavior and intent at scale.
13 years of coding experience
15 years of employment as a software developer
Bachelor of Engineering (BEng), Computer Systems Engineering, Bachelor of Engineering (BEng), Computer Systems Engineering at Alexandria University
Master's degree, Computer Vision and Artificial Intelligence, Master's degree, Computer Vision and Artificial Intelligence at Universitat Autònoma de Barcelona
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Old Dominion University
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