Software engineer at Leonardo Helicopters in Milan, building AI/ML pipelines, CI/CD infrastructure, and safety-critical avionics software.
I enjoy building software that works well under pressure: vision LLM systems, agentic RAG pipelines, developer tooling, backend services. Working in avionics gave me an appreciation for rigor and precision — the kind where correctness isn't optional — that I carry into everything I build. Outside of work, I'm passionate about quantitative finance and love applying engineering thinking to markets.
- 🚁 AI tooling and embedded avionics software at Leonardo Helicopters — vision LLM pipelines, CI/CD, DO-178C DAL A certification
- 📈 Event-Driven Quantitative Backtesting Framework — Python, FastAPI, PostgreSQL, React, Docker
- 🤖 Experimenting with agentic AI — RAG systems, LLM orchestration, MCP tooling
Languages: Python · C · C++
AI/ML: RAG · LLM Agents · Prompt Engineering & Evaluation · PyTorch · Ollama · MCP
Backend: FastAPI · REST · PostgreSQL · SQLite · ChromaDB
Infrastructure: Linux · Docker · AWS (EC2, S3, Lambda, IAM)
DevOps: Git · GitLab CI · GitHub Actions
Monitoring: Grafana · Prometheus
🎓 MSc Control Systems Engineering — University of Padua
🇪🇸 Erasmus — Universitat Politecnica de Catalunya, Barcelona
🎓 BSc Information Engineering — University of Padua
📜 Oracle Cloud Infrastructure Generative AI Professional
