As a Chief Scientist with over 25 years of experience in distributed systems, I lead the technical and scientific vision for the future of industrial intelligence. My work centers on bridging the gap between high-scale Generative AI (LLMs, RAG, PEFT) and the precision of automotive machine learning. I architect agentic workflows that transform raw, high-frequency CAN-bus telemetry and proactive maintenance data into actionable, predictive insights for fleet health. By integrating advanced machine learning development with structured sensor data, I ensure that "Augmented Intelligence" provides the technical rigor necessary for mission-critical diagnostics, shifting the paradigm from reactive repair to autonomous, data-driven maintenance at a company-scale deployment.
