Joel Andres

I architect and engineer healthcare technology that turns policy and clinical documentation into intelligent, production-grade decision support. I specialize in RAG systems and enterprise LLM platforms, with 15+ years delivering scalable web, mobile, and cloud applications.

In my current role, I architected a RAG-based prompting engine to automate high-stakes orthopedic procedure decisions using Python and LangGraph. I leveraged complex conditional routing, dynamic subgraphs, and persistent state management, and also contributed to a Flutter mobile application that helps patients perform exercises to prevent procedures.

I’ve built provider, payor, and facility web portals with TypeScript and Angular to enable external entities to submit and review patient case information. I also implemented an enterprise AI RAG framework that automates prior authorization evaluation by analyzing clinical documentation against payer policies, reducing manual case review for utilization management teams.