Tomer Stav is a Sr. Applied Scientist at Amazon, where they advance state-of-the-art research and drive the production deployment of machine learning solutions within the Personalization organization, specifically focusing on Large Language Models and optimization. Prior to this, Tomer held various roles at Amazon, including Sr. Machine Learning Engineer, and served as a Machine Learning Algorithm Engineer at Shutterfly, where they developed machine learning models for personalized photo products. Tomer also gained experience as a researcher and teaching assistant at the Technion - Israel Institute of Technology, where they earned both a B.Sc. and M.Sc. in Physics.
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