PhD in Smart Computing
"Random Access Memories"
PhD Student in Smart Computing and AI at University of Florence.
Summary 🚀 A lightweight Python tool that generates RSS/Atom feeds for GitHub trending repositories, making it easy to track popular projects via any feed reader.
Summary 🔥 A micro-LLM (~12.1M parameters) trained on Dante Alighieris works and medieval Italian literature that runs **entirely in the browser** to generate infinite Dante-style text.
Summary 📘 A research-heavy architecture that fuses **Gaussian Mixture Models** with a lightweight neural backbone to estimate probability density functions without labels.
Summary 🎨 This final project for Neural Networks 2023 reimagined a DCGAN as a playground for *generating* Lissajous-inspired visual motifs.
Summary 🧬 Research paper accepted at ESANN 2022 that benchmarks deep segmentation backbones for renal glomeruli detection on mouse histology.
Summary 🤖 Feedygram is my personal take on an RSS-to-Telegram bridge. It scrapes your favorite feeds and delivers them through Telegram messages enhanced with Instant View previews.
Summary 🔮 FCK GBRL AI is a creative detour where biomedical image segmentation met the unpredictability of NFT art. The idea was to celebrate the beautiful glitches that emerge from deep learning, not hide them.
Summary 🧭 A capstone for the Computer Networks course: I built a web service that scans barcodes, persists the results, and visualizes warehouse workflows.
