Antoine Buisson
About Antoine Buisson
Antoine Buisson is a data engineer currently working at Sia Partners in Paris, France. He has a strong background in machine learning and software engineering, with experience at Télécom SudParis and KMS Insurance Solutions.
Work at Sia Partners
Antoine Buisson has been employed at Sia Partners as an Ingénieur de données since 2023. His role involves designing optimal cloud architectures tailored for both client missions and internal products. The position is based in Paris, France, and operates in a hybrid work model. His expertise in computer vision machine learning contributes to the development of innovative solutions within the organization.
Education and Expertise
Antoine Buisson studied at Télécom SudParis, where he earned a Diplôme d'ingénieur in Intelligence artificielle and Numérique, Communication numérique et média / multimédia from 2019 to 2022. He also attended Seoul National University as an Exchange Graduate Student, focusing on Data Science and Deep Learning from 2021 to 2022. His educational background includes a Baccalauréat général in Scientifique from Lycée Douanier Rousseau and a Classe préparatoire aux grandes écoles in Physique / Technologie / Science de l'Ingénieur from Lycée Joliot-Curie.
Background
Antoine Buisson has a solid foundation in software engineering, particularly for large account information systems. He has experience working in various roles, including a Machine Learning Researcher at Télécom SudParis for two months in 2021 and a Machine Learning Intern at KMS Insurance Solutions for six months in 2022. He also served as a Software Engineer at KMS Insurance Solutions from 2022 to 2023.
Achievements
Antoine Buisson specializes in computer vision machine learning, which is a critical area in the field of artificial intelligence. His work at Sia Partners focuses on designing cloud architectures that enhance both client and internal projects. His academic and professional experiences reflect a commitment to advancing his skills and knowledge in data science and machine learning.