Kwami Mayeden

Kwami MAYEDEN, PhD, is a skilled data scientist specializing in computer vision, machine learning operations, and applied physics. Currently at LVMH since January 2024, Kwami utilizes advanced techniques in foundation models and generative AI. Previous experience includes roles at TotalEnergies as a Data Scientist & Deep Learning Engineer, where R&D efforts focused on generative AI and neural network design. Prior to that, Kwami worked at Aquila Data Enabler in computer vision, and founded BestPotes, a mobile application aimed at facilitating community exchanges. At Saint-Gobain Research, both in Paris and North America, Kwami led data science innovations and managed teams in projects relating to particle distribution and industrial coating processes. Academic qualifications include a Master of Engineering from Centrale Nantes and an Engineer's degree from École Hassania des Travaux Publics, complemented by preparatory studies in physics and engineering sciences.