Mohamed Ezz is a skilled software engineer and machine learning scientist with a strong background in computer science and engineering. Experience includes working at Microsoft as a Software Engineer Intern on the Office Word team, contributing to the integration of Virtual Desktops in Windows 10. Mohamed has held positions at various esteemed organizations, including Meta, where expertise in computer vision is applied, and Affectiva, focusing on deep learning for face and body pose estimation. Additional experience encompasses backend software development at Cliqz GmbH and embedded systems engineering at Valeo, along with research in bioinformatics during a tenure at Albert-Ludwigs-Universität Freiburg im Breisgau. Education credentials include a Bachelor's degree from The German University in Cairo and a Master's degree from Technische Universität München, both awarded with distinction.
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