Arthur Journé

Arthur Journé is an experienced Solution Architect at Deepomatic since October 2021, with a strong background in machine learning and computer vision. Prior roles include a Computer Vision Research Intern at GLEAMER, where Arthur implemented state-of-the-art algorithms for fracture classification, and a Machine Learning Intern at GATEWATCHER, focusing on malicious domain detection and network anomaly identification. Arthur's earlier experiences include internships at Cleed, where computer vision for clothing classification and a recommender system were developed, and at NTNU, where deep learning applications on embedded devices were explored. Additionally, tutoring experience at Alveus club and a role as a Ground Worker at Eurovia demonstrate versatility and teamwork skills. Arthur holds a degree from ENSTA and completed preparatory classes at Lycée Pierre De Fermat.