Aleksandr Timofeev is a seasoned Machine Learning Engineer with extensive experience in various prestigious organizations, including Apple and Google. Currently working at Apple since September 2025, Aleksandr previously served as a Research Engineer and Vertical Tech Lead at Neural Concept, where the focus was on enhancing the workflow of CFD engineers through innovative machine learning systems for car aerodynamics. Notable accomplishments include pioneering a transformer-based method at Google that significantly improved user metrics and latency. Educational qualifications include a Master's degree in Data Science from EPFL and a Bachelor's degree in Applied Mathematics from the Moscow Institute of Physics and Technology.
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