Healthcare AI does not often fail because of weak models. It fails at the point of governance, workflow integration, and organizational change. I lead programs that close that gap. With 20+ years of experience across healthcare consulting, program leadership, and operational transformation, I operate at the intersection of strategy, architecture, and execution.
My recent Johns Hopkins University AI in Healthcare certification builds on a deliberate upskilling path across AWS AI for Decision Makers, NLP, RPA, and agentic systems—focused on where AI succeeds or fails in practice: within clinical workflows, governance structures, and real-world adoption environments. I apply this combined experience to strengthen how organizations bridge traditional healthcare IT with modern AI capabilities, emphasizing disciplined program execution, governance, and sustainable operational integration.