Hany Salaheldeen

Full Resume: http://tiny.cc/hany I am a senior applied machine learning scientist at Amazon and before that at Microsoft. I led projects and teams in the fields of modeling, recommendation systems, contextual suggestions, ranking, at- tribution, computer vision, natural language processing, language models, data mining, metrics, and modeling user behavioral patterns specifically intention. I also enjoy teaching and worked as a machine learning instructor at the University of Washington continuing education program teaching Introduc- tory and Advanced Machine learning courses. At Amazon Photos I own the facial recognition and clustering space. Before that I led the efforts of developing automation pipelines to to facilitate machine learning models deployment to production and the marketing attribution space. At Microsoft I worked in the conversation and language understanding group as a part of Cortana and substrate intelligence MSAI. Prior to my work in Cortana, I was in the Time & Location Intelligence team which is a part of Outlook. I have a PhD in computer science majoring in information retrieval and web science; with a masters degree in computer vision & artificial intelligence. My doctoral research is centered in the field of information retrieval and social media mining, focusing on the concept of user intention in sharing resources and its relation to information dissemination, preservation, and discovery. I enjoy working on real-world problems, developing cutting edge methodologies on large scale data sets and taking them to production in real-life scenarios, then extending the outcome of such methodologies to patenting or publishing.