R&D Engineer in Networking| PhD Candidate @ TU Berlin
Building production-grade observability and telemetry systems for network infrastructure.
- 🇩🇪 Research and Developement Associate @ Fraunhofer HHI — telemetry pipelines, autonomous network reconfiguration, and AI-assisted fault detection for optical networks
- 🇺🇸 Visiting Research Scholar @ UC Davis — deep reinforcement learning for datacenter network reconfiguration
- 🇩🇪 Intern @ ECB — automated data extraction pipelines for large-scale regulatory datasets
- 🎓 PhD in Electrical & Computer Engineering — TU Berlin (2023–2026)
- 📚 MSc Telecommunications Engineering — Politecnico di Milano (2019-2022)
- 📚 BSc Electronic & Communications Engineering — Politecnico di Torino(2016-2019)
- 📊 - DCN Observability (currently private) A cloud-native observability pipeline for datacenter networks: gRPC-based metric streaming, topology-aware anomaly detection, and automated alerting on Kubernetes
- 🧠 - Self-Supervised Deep Reinforcement Learning for DC/HPC Reconfiguration: Master thesis project developed using Pytorch making use of self supervised learning for DC/HPC applications associated to the publication Experimental Assessment of Reversibility-Aware Deep Reinforcement Learning for Optical Data Center Network Reconfiguration
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