I've built AI solutions at World Wide Technology, Merck, Axtria, Tredence Analytics, and DXC Technology, including an Agentic AI infrastructure assessment assistant that reduced manual effort by approximately 75% and a code intelligence solution using GitHub repository data.
My work spans XGBoost predictive models, RAG-based enterprise assistants, healthcare professional ranking, feature stores, and Tableau dashboards. I've improved TNBC patient engagement by approximately 10%, increased lung cancer prediction accuracy by 7%, and developed models for pharmaceutical and retail decision-making using Python, SQL, PySpark, AWS, Databricks, LangChain, and LangGraph.
