Daniel Evenschor

Daniel Evenschor builds machine learning infrastructure at Finanz Informatik, where he brings AI into highly regulated banking environments. He focuses on deploying, scaling, and monitoring open-source large language models directly on-premises.

Before moving into operations, Daniel worked as a data scientist. Today, he connects those models to production systems using Kubernetes, OpenShift, and automated pipelines. His recent talks cover the realities of running sovereign AI platforms and managing model observability inside air-gapped systems serving hundreds of thousands of users.