Filippo Ziche is a PhD graduate student and researcher with a decade of experience in computer science, specializing in high-performance computing, distributed systems, and GPGPU programming. Trained at the University of Verona with top honors for both bachelor’s and master’s degrees, he now contributes to AI research for edge systems as a member of the PARCO parallel computing lab. His recent work includes human action recognition with graph neural networks for a EU-funded telemedicine project, blending practical healthcare applications with advanced ML architectures. Filippo combines strong academic rigor with hands-on implementation skills, focusing on making AI work efficiently on constrained hardware. Based in Veneto, Italy, he brings a research-driven mindset to performance-sensitive system design and cross-disciplinary collaborations. An uncommon strength is his ability to bridge low-level parallel programming techniques with higher-level graph-based learning models to optimize real-world AI deployments.
10 years of coding experience
1 year of employment as a software developer
Master's degree, Engineering and Computer Science, 110L, Master's degree, Engineering and Computer Science, 110L at Università degli Studi di Verona
A tiny BitTorrent client made specifically for furrets
Contributions:2 PRs, 51 pushes, 11 branches in 2 months
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