Semih Günel is an accomplished professional with a strong background in computer science and machine learning. Experience includes roles as a Software Engineering Intern at Aselsan, where work focused on thermal camera software development, and a Research Intern at Fraunhofer IIS, contributing to a multi-camera localization system. As a Research Assistant at EPFL's Computer Vision Lab, significant research contributions were made from September 2017 to March 2022. More recently, Semih Günel has served as a Machine Learning Engineer at Meta, engaging in projects related to monetization generative AI, user and content understanding, and WhatsApp central integrity. Semih holds a PhD from EPFL and has studied at institutions including Koç University and KTH Royal Institute of Technology.
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