My Projects
Agentic AI systems I've built, from clinical assistants to enterprise document Q&A
AI-Powered EHR Assistant
Capstone Project | UT Austin McCombs - AI Agents for Business Applications | 2026
An agentic assistant that helps clinicians navigate electronic health records - retrieving patient history, summarizing chart notes, and answering natural-language questions grounded in structured and unstructured EHR data, with human-in-the-loop safeguards for clinical accuracy.
RAG System for Enterprise Document Q&A
Capstone Project | UT Austin McCombs - AI Agents for Business Applications | 2026
A Retrieval-Augmented Generation system that lets users ask natural-language questions over a long-form Harvard Business Review case study on Apple, combining vector search with an LLM to ground answers in the source document and reduce hallucination.