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Hakob Tamazyan is a Machine Learning Researcher at YerevaNN since April 2023, focusing on the analysis of local representations of self-supervised vision transformers, contributing to a published paper. Prior to this role, Hakob served as a Staff Machine Learning Engineer at Mobeus, specializing in gesture recognition technology from November 2022 to March 2023, and at Krisp from May 2019 to November 2022, where expertise was applied in real-time video segmentation/matting, audio dereverberation, and image segmentation. Earlier experience includes a position as a Machine Learning Engineer at BetConstruct from September 2017 to April 2019, working on time series data analysis, image classification, and client behavior predictions. Educational credentials include a PhD in Mathematical Logic, a Master's degree in Discrete Mathematics and Theoretical Computer Science, and a Bachelor's degree in Computer Science and Applied Mathematics, all from Yerevan State University, along with early education from the Phys-Math special school.