Christoph Raab is an AI expert and lead solutions architect with 11 years of experience bridging research and production in domain adaptation, concept drift, computer vision, and NLP. Holding a doctoral background in artificial intelligence, he has built and deployed LLM-driven agent systems, document-AI transformers, and MLOps pipelines for SMEs and large enterprises. At IAV and as a freelancer he integrated knowledge-graph retrieval, semantic search, and Kubernetes/Azure-based LLMOps to reduce latency and improve generation quality across engineering workflows. He creates explainable metric-learning demos for non-technical audiences and has a track record of turning stream-mining research into practical failure-detection solutions for manufacturing. Now at Siemens, he combines hands-on model engineering with stakeholder-facing solution design, advising teams on cloud-first transformations. Based in Bamberg, Germany, he blends academic rigor with pragmatic productization—often surfacing subtle domain shifts that others miss when moving models from lab to field.
11 years of coding experience
7 years of employment as a software developer
Doctor rer. nat. Artificial Intelligence, Doctor rer. nat. Artificial Intelligence at Bielefeld University
Master of Science - MS Informationsystems, Master of Science - MS Informationsystems at Technical University of Applied Sciences Würzburg-Schweinfurt (THWS)
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