Overview
Built a secure LLM pipeline for clinical document extraction and automation.
Project Details
Engineered a Python pipeline leveraging a locally-hosted LLM to extract structured entities from unstructured clinical notes, reducing report preparation time by 95%.
Designed a Pydantic-validated data pipeline to enforce schema integrity, processing data securely without cloud exposure.
Lowered processing costs by 64% through automated Python-docx document generation from JSON schemas.