Romain Beaumont

Romain Beaumont is a seasoned Senior Machine Learning Engineer with a diverse skill set and a keen interest in various aspects of machine learning and high-performance applications.

His expertise includes machine learning, with a focus on recommender systems, computer vision, natural language processing, and deep learning. Romain is well-versed in high-performance applications, covering distributed systems, algorithms, complexity, memory management, and monitoring.

Proficient in various programming paradigms such as functional, object-oriented, imperative, and descriptive, he also excels in web development, particularly in JavaScript, npm, and web components.

Romain's educational background comprises Classes préparatoires aux Grandes Ecoles in Maths/Physics from Lycée Alphonse Daudet, a degree in Computer Science Engineering with applied mathematics from ENSIIE - École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise, and a Master's degree in Research in Information Learning Cognition, specializing in machine learning, natural language processing, and voice recognition from Université Paris Sud (Paris XI).

Currently serving as a Senior Machine Learning Engineer at Criteo, Romain has held various roles in the organization, including Software Engineer II and Software Engineer.

Prior to his tenure at Criteo, he gained experience in different capacities, such as Web Development at LIMSI CNRS, Monitoring at IUT d'Orsay, and roles including PhD Student, Stagiaire, Software Engineer Intern at Farwave Optic Communication in Shanghai, China, and Intern at LIMSI CNRS.

Romain is also an active contributor to open-source projects, which can be explored on his GitHub profile at https://github.com/rom1504.