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Maxime Alvarez is a Research Engineer at NABLAS, focused on unsupervised anomaly detection and diffusion models for self-supervised anomaly detection in industrial contexts. Previously, Maxime worked as a Computer Vision R&D Engineer at Pretia Technologies, specializing in cross-source point clouds alignment and collaboration with the Japanese government on the PLATEAU project. Maxime's experience includes a software engineering internship at Meta, a teaching assistantship at Université de Sherbrooke, and R&D roles at the Autonomous Control Systems Laboratory, where Maxime contributed to UAV technology. Additional roles include internships in software development and web development, alongside a background in volunteer firefighting and tutoring. Maxime holds a Master of Science in Machine Learning from ENS Paris-Saclay and is pursuing a PhD in Technology Management for Innovation at The University of Tokyo.