MSc Computer Science, AI
110/110 cum laude with special mention to the career. Thesis on hybrid graph-RAG for public procurement at SWAP.
AI engineer.
110/110 cum laude with special mention to the career. Thesis on hybrid graph-RAG for public procurement at SWAP.
110/110 cum laude. Thesis on aerial image segmentation at CILab.
Camera-radar fusion for vehicle detection in adverse weather, on the RADIATE dataset.
Italian T5 with length tokens and a CSP grid solver for crosswords: MRR 0.63, 34% of grids fully solved.
Programming and Formal Languages for first-year students.
Local graph-RAG over 103M+ procurement records.
Present a PDF together, every screen in sync.
Grad-CAM-guided distillation of a VLM into a ViT.
Multi-label classifier with a full MLOps pipeline.
SimCLR with quantum projection heads.
EvolveGCN on a social network.
86% balanced accuracy on imbalanced data.
โฌ2000 prize. Finalist out of 400.
Out of 20 teams.
Out of 15 teams.
Out of 10 teams, โฌ500 prize.
Local stage. 21st of 43 teams at the national stage.
Italian, English (B2)