Leads Mastercard’s global AI Engineering organization within the AI Center of Excellence. Oversees the delivery and scaling of enterprise AI products, agentic AI solutions, reusable AI assets, and intelligent automation from design through production. Partners across engineering, infrastructure, data, security, risk, architecture, product, and business teams to ensure secure, reliable, governed, and measurable outcomes. Builds high-performing global teams and drives adoption, operational excellence, responsible AI, and production readiness in a regulated environment.

Architect and engineer secure, scalable enterprise AI infrastructure supporting LLM training and inference, machine learning, agentic AI, and production platforms. Lead HPC, GPU, Kubernetes, cloud, networking, storage, reliability, observability, security, governance, and automation efforts. Evaluate emerging technologies, drive architecture and engineering standards, lead cross-functional initiatives, and mentor engineers in a highly regulated environment.

Design, build, validate, and deploy machine learning models; perform EDA and statistical analysis; design and maintain scalable ETL/ELT data pipelines; work with large distributed datasets; run A/B tests; monitor production model performance; partner with product, engineering, and business teams to deliver data-driven solutions and ensure data quality.