A career across enterprise systems, cloud, AI, and hyperscale platforms.
More than 20 years across enterprise architecture, large-scale systems, SaaS transformation, hyperscale cloud, machine learning platforms, and now AI systems and agentic workflows.
AI products and platforms
Working on AI products and platforms, including agentic systems and human-in-the-loop experiences, as AI moves beyond conversational interfaces toward systems that participate in complex workflows and increasingly autonomous decision-making.
Hyperscale cloud infrastructure
Spent the largest part of my career at Microsoft, with much of that time focused on Azure, large-scale cloud platforms, and infrastructure supporting mission-critical enterprise workloads and Microsoft services.
AI and ML platforms at enterprise scale
Led large-scale AI and machine learning infrastructure and programs supporting thousands of models, massive compute fleets with more than 100,000 vCPUs and 45,000 GPUs, and dozens of product teams. The work focused on reducing duplication, improving deployment efficiency, and making machine learning capabilities reusable across the organization.
Multi-cloud systems and AI-driven workflows
Led Oracle Cloud's multi-cloud commercialization platform across Azure, AWS, and Google Cloud. Designed a unified commitment and billing model that enabled customers to consume Oracle services across OCI and partner clouds under a single commercial commitment. Also led AI-driven workflows across product, engineering, legal, compliance, and finance that reduced regulatory review cycles by 45%.
SaaS transformation and AI-first products
Led SaaS transformation and AI-first product innovation in connected fleet intelligence. Modernized a legacy platform onto Google Cloud with containerized microservices and data services, reducing infrastructure costs by 30%, while advancing predictive maintenance, routing, and driver analytics.
Enterprise architecture and large-scale transformation
Led architecture, engineering, and delivery teams for large public-sector systems, including statewide eligibility, voter registration, and health services platforms. The work covered enterprise architecture, SOA and integration strategy, technical infrastructure, scalability, service levels, vendor management, and large-scale system delivery.