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Nathan Greffe is a knowledgeable Computer Vision Software Engineer at EURESYS since December 2020, focused on developing and optimizing solutions for barcode reading and 3D alignment with automatic defect detection. Prior to this role, Nathan worked as a Data Scientist at I-Pulses SPRL, where a predictive pipeline for debtor solvency scores was created using boosting algorithms on heterogeneous tabular data. Nathan's early experience includes a position as a Student Assistant at the University of Liège, where assistance was provided for multiple courses, and engineering internships at EURESYS and X-RIS, concentrating on image acquisition and analysis. Nathan holds a Master's degree in computer science and engineering with a specialization in Intelligent Systems from the University of Liège and has also studied at EPFL.