Summary
Alex Kolodzig is a Data Scientist and AI engineer based in Paris with a decade of experience turning complex, high-volume data into production-grade AI that drives measurable industrial impact. With a background that stretches from astrophysics to scalable MLOps, he architects pragmatic solutions—hybrid digital twins, advanced anomaly detection, and GenAI integrations—that have enabled multi-TWh energy savings and 90% diagnostic accuracy in deployed systems. He partners with European technology providers to embed market-differentiating AI features and advises asset operators on data-driven strategies for predictive maintenance and risk reduction. Known for building the foundational data engineering and ETL pipelines behind global rollouts to 75+ assets, he combines statistical rigor with cloud-native tooling (Docker, Kubernetes, Azure) to ensure solutions are robust and scalable. Beyond models, he focuses on product-led AI adoption and measurable ROI, blending research-grade methods with operational realities.
10 years of coding experience
German, English, French