AI Infrastructure
Native systems for AI
Cold starts for training and inferencing. HPC orchestration and Kubernetes clusters for agentic systems. Parallel delivery of containers and models to frontier labs.
Reliability & Performance
Built for the worst day
High availability, seamless failovers, hardened networking, and performance at every layer, built into Azure to enable the world's largest AI workloads.
Security & Governance
Trust at every layer
Supply chain security, authentication and authorization, RBAC and ABAC, observability, and governance for AI workloads and the artifacts they depend on.
Leadership
Driving teams and strategy
Senior PM working with teams across Azure's containers and cloud-native portfolio to land impact end to end, from the world's largest AI customers to Azure-wide initiatives.
Engineering
Leading by building
Designing systems, shipping production code, and working incident bridges. Building what PMs, engineers, and business operations all trust. Sleeves rolled up, even while leading.
Impact & Voice
Compounding in public
Years of durable business impact across Azure and Microsoft. Shaping the public conversation. Evangelizing systems thinking, structural reasoning, and lessons learned for AI infrastructure and economics.