Building scalable ML infrastructure, production RAG systems, and autonomous robotic control algorithms.
- 🤖 AI Engineer @ Ainexxo: Architecting end-to-end production ML systems, self-managed Kubernetes infrastructure on Hetzner, and enterprise RAG pipelines.
- 🎓 MSc Computer Science & Engineering: Politecnico di Milano — Specialization in Machine Learning and Robotics.
- 🏆 NeurIPS 2024 Contributor: Co-authored the retrospective paper for the Robot Air Hockey Challenge (Datasets & Benchmarks Track).
- 📍 Based in: Milan, Italy 🇮🇹
| Domain | Technologies |
|---|---|
| Languages | Python C++ SQL LaTeX |
| ML & RL Systems | PyTorch Deep RL (SAC, PPGE) Computer Vision vLLM |
| RAG & Agentic AI | LangChain LangGraph Milvus DB Vector Search |
| DevOps & Cloud | Docker Kubernetes GitLab CI/CD Hetzner Cloud GCP |
| Monitoring & Data | Prometheus Grafana Loki Arize Phoenix Redis Firestore |
@inproceedings{robot_air_hockey_2024,
title = {A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics},
booktitle = {NeurIPS 2024 Datasets and Benchmarks Track},
year = {2024}
}