At Millennium Medical Billing, I architected Python automation scripts and SQLite ETL reporting pipelines that reduced manual data processing cycles by 40%. I also integrated Gemini and Groq APIs with Pydantic V2 response models to structure clinical notes and automate lead enrichment.
I built a customer churn prediction and retention agent using Scikit-Learn, XGBoost, SHAP, FastAPI, and LangGraph. It identified high-risk customers and routed them to automated retention actions.
My other projects include a LangGraph text-to-SQL agent with read-only database safeguards and an enterprise RAG assistant using LangChain and FAISS. Before moving into AI and automation at Millennium Medical Billing, I worked in B2B lead generation, attribution analytics, and digital marketing.
