Maxime Portaz is a highly educated and experienced research scientist in the field of computer science, with a specialization in deep learning. He has expertise in computer vision, natural language processing, and information retrieval. Maxime holds a Ph.D. in computer science from the Université Grenoble Alpes and has prior experience as a graduate research and teaching assistant at LIG - Laboratoire d'Informatique de Grenoble, a computer software engineer at Inria, and a research scientist at Qwant Research.

Currently, Maxime is working as a research scientist at Trax Retail, where he is involved in image retrieval, object detection, OCR, and object identification. With a master's degree in mathematics and computer science, and a license degree in computer science and mathematics, Maxime has a solid academic background that encompasses a wide range of technical skills and knowledge, enabling him to tackle complex information processing challenges.

Maxime has extensive internship experience at Inria, honing his practical skills in a professional setting. Through his work at Trax Retail and Qwant Research, Maxime has established himself as a thought leader and expert in the use of deep learning techniques, such as object recognition, to solve real-world problems.