Collaborate with Data Engineering teams to build and maintain scalable, HIPAA‑compliant data pipelines using Python, SQL, Spark, and Databricks to support healthcare AI use cases
Optimize databases and queries across relational systems and data warehouses to enable low‑latency access for AI applications
Design and deploy retrieval‑augmented generation (RAG) systems to deliver grounded, reliable insights for clinical and administrative workflows
Develop agentic AI workflows and NLP solutions to extract value from unstructured clinical data
Rapidly prototype and demo AI tools using Streamlit and integrate workflows into operational systems using low‑code tools
Deploy, evaluate, and optimize AI systems using Docker, FastAPI, and metric‑driven performance monitoring to ensure production reliability and minimize hallucinations