Raphaël Sulzer is a Computer Vision Engineer currently working as a Solutions Architect at Deepomatic, a position held since 2022. They previously served as a Computer Vision and Deep Learning Engineer at Dental Monitoring from 2018 to 2022, where they focused on model optimizations and algorithm development. Raphaël gained valuable experience through internships, including work at EOS imaging on machine learning applications and hands-on observational internships in hospital settings and academic environments. They hold multiple degrees, including a Master's in Health Technology from Sorbonne University and a Master's 2 in Biomedical Engineering from Instituto Superior Técnico.
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