Summary
Francesco Pelosin is a Deep Learning and Research Engineer with a Ph.D. in Artificial Intelligence and 12 years of experience focused on continual learning and computer vision. He has a track record of turning research into fast prototypes—building diffusion-based inpainting pipelines, self-supervised semantic segmentation systems that cut labeling costs by up to 95%, and synthetic-data tools illustrated by a CVPR workshop paper. His academic work on continual learning and Visual Transformers earned awards and an oral at AAAI2024, and he has translated those ideas into production-oriented solutions for industrial partners. Comfortable across the research-to-product spectrum, he blends strong theoretical grounding with rapid prototyping and team mentoring, having co-advised hires and deployed customer-facing pipelines. Based in Bassano del Grappa, Italy, he pairs top academic credentials with practical impact, often prioritizing cost-effective, scalable annotation and data-generation strategies that are not immediately obvious from publication lists.
12 years of coding experience
2 years of employment as a software developer
Master’s Degree, Computer Science, Full Marks with Distinction (110/110 Lode), Master’s Degree, Computer Science, Full Marks with Distinction (110/110 Lode) at Ca' Foscari University of Venice