AI & Robotics Engineer
M.Sc. student at Sapienza University. Research-driven systems in LLMs, self-supervised vision, and autonomous robotics.
M.Sc. student in AI & Robotics (GPA: 29.5/30) specializing in LLM fine-tuning and Computer Vision. I build scalable, production-ready pipelines and modular architectures.
Proven track record of solving complex problems from first principles, bridging advanced HPC research with award-winning practical applications.
Sapienza University of Rome
University of Perugia
Sapienza Flight Team
Hands-free computer control using MediaPipe hand tracking. Real-time pointer + click gestures. Built with Python, OpenCV, PyAutoGUI.
High-performance token-level sentence boundary detection using LLM embeddings, Mixture-of-Experts and Multi-Scale CNN. State-of-the-art accuracy.
High-performance domain-specific RAG system for production workloads. Achieved +20% on RAGAS metrics. Large-scale training and knowledge distillation (300B → 1.5B) on Leonardo HPC (CINECA) using LoRA & 4-bit quantization.
Reproducible PyTorch pipeline for self-supervised LeJEPA pre-training. Developed SSL pre-training pipelines based on JEPA architectures. +10% performance gain on Monocular Depth Estimation metrics.