Resul Caliskan is an agent-focused Data Scientist and AI Engineer specializing in LLM-powered systems for healthcare. He designs and ships agentic AI applications that combine RAG, NLP, and evaluation-driven workflows to turn complex clinical and unstructured data into reliable, production-ready solutions. Resul’s work centers on pragmatic architecture, robust implementation, and measurable impact—bridging research-quality ideas with real-world delivery.