Andrea Bragagnolo is a researcher and machine learning engineer with a PhD in Artificial Intelligence and over a decade of experience, specializing in computer vision, neural network pruning, and synthetic data. After a PhD at the University of Turin and four years building ML systems at Synesthesia, she now conducts applied AI research at Fondazione LINKS, bridging academic rigor with production-aware engineering. Her work focuses on developing efficient deep-learning approaches—optimizing models for deployment while leveraging synthetic data to overcome data scarcity. Known for combining strong theoretical background with hands-on model compression techniques, she often navigates the practical trade-offs between accuracy and resource constraints. Fluent in both research and engineering contexts, she brings a measured, experimental mindset to translating novel CV ideas into usable solutions.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer science, Doctor of Philosophy - PhD, Computer science at Università degli Studi di Torino
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Andrea Bragagnolo - Researcher at Fondazione LINKS