Design, build, tune, and productionize ML, NLP, and LLM systems using CRC data. Develop statistical models (ordered probit, regressions), clinical embeddings, private LLMs, RAG pipelines, and an AI analytics chatbot. Deploy and monitor models via Databricks/Fabric/Azure ML with MLflow/CI-CD, integrate outputs into services and dashboards, and collaborate with data engineering and BI teams.

Translate clinical, operational, and financial data into actionable insights and client-ready deliverables. Own end-to-end analyses (SQL to presentation), partner with Clinical and Client Ops, build scalable reporting, and support enterprise initiatives.

Design, build, and productionize ML/NLP/LLM systems for clinical and financial analytics. Tune NLP engines, develop statistical and regression models, create private LLMs and RAG pipelines, deploy models on Databricks/Fabric/Azure ML, and build the enterprise AI analytics chatbot with monitoring and CI/CD.