Raphael Schmitt is an AI and NLP researcher working on large-scale model development, applied information retrieval, and clinical AI systems. He has developed RoBERTa-style language models such as GottBERT, GeistBERT, ChristBERT, and PortBERT, and designed scalable pipelines for medical information retrieval and clinical text mining. His work spans AI infrastructure, database-backed IR systems, medical informatics, applied software engineering, and GPU-based volume rendering and imaging. He combines his technical expertise with a psychological perspective and a personal foundation shaped by Christian faith, martial arts, and diving, supporting clarity, resilience, and grounded decision-making. His expertise can be requested to support organizations in AI-driven projects, digital transformation, and modern software development.