I design and lead end-to-end delivery of intelligent systems that combine Azure OpenAI, Document Intelligence, distributed compute, and secure enterprise integrations to solve real-world business challenges at scale. In my current role, I serve as Lead for AI-driven platforms in regulated environments, driving architecture, delivery, and adoption of enterprise-grade AI solutions — including intelligent inspection systems, Copilot experiences, and automation pipelines that significantly reduce manual effort and improve decision accuracy. My work focuses on: - Designing scalable, production-grade AI systems (LLMs, semantic validation, automation workflows) - Enabling Copilot & GenAI adoption with measurable productivity impact - Building secure, governed AI platforms aligned with enterprise and regulatory standards - Driving automation-first architectures that reduce operational effort and improve throughput - I bring strong hands-on experience across Azure services (OpenAI, Durable Functions, Cosmos DB, APIM), DevOps automation, and enterprise integration patterns, with a consistent focus on delivering measurable business outcomes. - LEAP-certified with a strong inclination towards solution architecture, platform thinking, and system scalability, I actively contribute to innovation initiatives, reusable architecture patterns, and enterprise AI adoption strategies. Always open to conversations around: AI architecture | Copilot enablement | enterprise AI transformation