At McKinsey, I architected a governed enterprise AI platform after an at-risk Generative AI program struggled to reach production. By separating retrieval, planning, reasoning, tool execution, and validation, the platform went on to support 12 business workflows and 14 enterprise system integrations.
At IBM, I engineered AI platform components for financial services, healthcare, insurance, retail, and airline engagements. I developed governed RAG and agent workflows with traceable outputs, evaluation pipelines, and production practices for regulated enterprise environments.
At United Airlines, I managed machine learning engineering and data engineering teams, supporting production ML workflows and modernizing data pipelines for analytics and predictive models. I’ve worked across analytics, data engineering, machine learning, and enterprise AI, with a focus on practical systems that can be maintained and operated in production.
