Resul Caliskan is an AI engineer and senior data scientist who designs and ships agentic AI systems for healthcare.
His work covers the full stack around language models: retrieval, tool use, structured outputs, fine-tuning, evaluation, and human-in-the-loop controls.
He specializes in turning unstructured clinical data into reliable, auditable AI workflows that run in production.
Testing a clinical NLP pipeline with an AI coding agent used to mean leaving the IDE to strip PHI from notes with a separate script. The Healthcare NLP de-identification MCP...