Guillaume Becquin is a highly accomplished and experienced Deep Learning Engineer with a background in Aerospace Engineering and Physics. He holds an Engineer's degree in Engineering Physics from Lunds tekniska högskola and a Dip. Ingénieur in Aerospace, Aeronautical and Astronautical Engineering from Ecole nationale supérieure de l'Aéronautique et de l'Espace.

Becquin's professional experience is vast, with him having worked at various companies in different roles. He started his career as a Trainee at IRSN before moving on to become a Lead Research Engineer at GE Global Research. Following that, he worked as a Senior Associate - Internal Consulting at GE before becoming a Data Scientist - Intelligent Traffic Systems at Siemens.

Currently, Becquin works as a Senior Deep Learning Engineer at Munich Re (Group), where he brings his expertise in Machine Learning and Deep Learning to the table. His work at Munich Re (Group) involves developing deep learning models for image and signal analysis.

Overall, Guillaume Becquin has an impressive track record of applying his expertise in Engineering Physics and Aerospace Engineering to solve problems in technology and business.