Muhammad Ahmed Ullah Khan is a doctoral researcher and research assistant at the Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) since April 2021, focusing on deep learning and computer vision solutions for automated data visualization and 3D object detection. Prior experience includes a role as a senior software engineer in machine learning and data analytics at Techlogix, where project management involved developing a sales forecasting system for a leading FMCG distributor in Pakistan, and performing predictive analytics on extensive sales data. Earlier positions included roles as a software engineer, student researcher focused on violence detection systems, and a student research assistant investigating cheque forgery detection. Education consists of a master's degree in computer science from RPTU Kaiserslautern-Landau and a bachelor's degree in computer science from the National University of Sciences and Technology (NUST).
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