Damien Raffard

Damien Raffard

Senior Machine Learning Engineer, Tech Lead @ wefox

About Damien Raffard

Damien Raffard is a Senior Machine Learning Engineer and Tech Lead at Wefox, where he has worked since 2021. He has a background in research and development in self-driving cars and energy alternatives, with experience at NAVYA TECH and CEA.

Work at wefox

Damien Raffard has been employed at wefox since 2021, serving as a Senior Machine Learning Engineer and Tech Lead. In this role, he is part of the Wefox Innovation team, where he focuses on applied machine learning projects. His contributions are aimed at developing innovative solutions that enhance the company's technological capabilities. Based in Ville de Paris, Île-de-France, France, he plays a significant role in advancing machine learning initiatives within the organization.

Previous Experience in Machine Learning and Engineering

Before joining wefox, Damien Raffard worked at NAVYA TECH as an R&D Engineer specializing in self-driving cars from 2016 to 2018. His experience also includes a position as a Research Engineer at CEA - Commissariat à l'énergie atomique et aux énergies alternatives, where he worked from 2014 to 2016. Additionally, he completed internships at CEA and BRGM, gaining valuable experience in research and development within the energy and environmental sectors.

Education and Expertise

Damien Raffard studied at Université d'Orléans, where he pursued a Master's degree in Mathématiques appliquées, specifically in Traitement du signal et de l'image. His academic journey spanned from 2009 to 2014, during which he developed a strong foundation in applied mathematics and signal processing. This educational background supports his expertise in machine learning and engineering.

Background in Research and Development

Damien Raffard began his career with an internship at CEA in 2014, which lasted for five months, followed by another internship at BRGM in 2013 for three months. These early experiences provided him with insights into research methodologies and practical applications in scientific and engineering contexts. His subsequent roles in R&D further solidified his skills in developing advanced technologies.

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