I build production LLM agent systems and agentic RAG pipelines for healthcare. 9+ years as an Emergency Room Technician — I don't just engineer AI for healthcare, I understand it from the inside.
🏥 Currently building: CardioBot + TriageBot
🤖 Stack: LangGraph • Claude • GPT-4 • Gemini • ChromaDB • FastAPI
☁️ AWS Certified Cloud Practitioner
🤝 Open to collaborating on health tech AI projects
📧 [email protected]
🫀 CardioBot — AI Clinical Cardiology Assistant
Multi-LLM agentic RAG system for clinical cardiology support
- Architecture: LangGraph state machine routing queries across Claude Sonnet, Gemini Vision, and GPT-4
- RAG Pipeline: 895 indexed passages from the 2023 ESC ACS Guidelines in ChromaDB
- Features: Clinical Q&A, EKG image interpretation, weight-based drug dosing, citation search
- Live: cardiodoc.streamlit.app
LangGraph RAG ChromaDB Claude Gemini Vision GPT-4 Streamlit Python
I spent 9+ years as an Emergency Room Technician at a Level II trauma center — performing EKGs, monitoring critical patients, and working alongside ER physicians on ACS and STEMI cases. I've seen firsthand where clinical workflows break down and where AI can genuinely help.
That domain expertise is built into everything I build.
Open to Applied AI Engineering roles — especially in HealthTech, clinical AI, and LLM application development.