10+ years building cloud-native distributed systems and Agentic AI solutions on Microsoft Azure - with measurable impact in performance, cost, and security.
Senior Software Engineer with over a decade of experience designing and shipping cloud-based distributed systems that solve complex business problems at enterprise scale. Since 2015, I have architected and delivered production systems spanning .NET, Azure PaaS, and modern front-end stacks across Microsoft, Expense On Demand, and Deloitte.
Over the past two years my focus has shifted to Agentic AI - driving end-to-end delivery of production AI agents on the Model Context Protocol (MCP), leading successive LLM model upgrades through structured offline evaluations, and integrating multi-server MCP, SSO, and multi-language support. My work sits at the intersection of Azure cloud architecture, Agentic AI, Platform Engineering, and Developer Productivity.
I specialize in turning complex technical challenges into pragmatic, measurable outcomes - 80-150% API performance gains, ~20% Azure cost reduction, and security compliance across hundreds of PaaS resources - while leading cross-functional crews and shipping reusable platforms adopted across the organization.
The disciplines and surfaces I spend my days inside, from autonomous agents to the cloud platforms that ship them.
Microsoft certifications earned across the cloud, .NET, and web tracks, plus recent specialisations.