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.
mattia2002@gmail.com · github.com/mattiacurri · linkedin.com/in/mattiacurri · mattiacurri.github.io
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.
€2000 prize. Finalist out of 400.
Out of 20 teams.
Out of 15 teams.
Out of 10 teams, €500 prize.
Local stage. 21st of 43 teams at the national stage.
Italian, English (B2)