At IFARLAB European Digital Innovation Hub (EDIH), I worked on the EU-funded OPEVA project, developing resilient fleet management software and integrating it across cloud, EV and HIL environments. I developed an energy-based EV route optimization algorithm and a fault-tolerant architecture for vehicle failure scenarios.
I also build machine learning and LLM systems, including a highway traffic forecasting project using graph and temporal convolutions, and an agentic AI application with a central orchestrator and specialized agents. My work spans RAG, model evaluation, and deployment with tools such as FastAPI, Docker and Kubernetes.
