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Mahmoud El Krim FERHAT, PhD, currently serves as a Machine Learning Engineer at Desoutter Tools, where significant improvements to the ML engine have been achieved, enhancing computational efficiency and reducing training phase time by 60%. Previous experience includes acting as a Teaching Assistant for DataInterview.com, focusing on recommendation systems within an AI/ML Engineer Masterclass. As a Researcher PhD Student, Mahmoud developed novel ML architectures for real-time fault detection in manufacturing during a CIFRE Thesis at Chicago Pneumatic and Polytech Nantes, with solutions currently utilized by automotive clients. Teaching roles included imparting machine learning fundamentals at Ecole centrale de Nantes. Earlier research involved implementing deep learning frameworks for predictive maintenance in partnership with SBB, and conducting a Master Thesis related to supply chain degradation using machine learning techniques at SAYpartners. Educational credentials include advanced degrees in Computer Science from Université Paris Dauphine - PSL and Mines Paris - PSL, and an Engineer's degree in Industrial Engineering from Ecole Nationale Polytechnique.