AI Intern
EcoG GmbH · Munich, Germany
Designed a 12-layer GCP data platform to ingest, parse, and normalize raw EV charging session logs from 25,000+ chargers, facilitating session reconstruction across multiple data sources. Engineered a RAG-powered log intelligence system using Vertex AI and Gemini for natural language querying of charging session data, enabling automated root cause analysis across the EV charging fleet.