// about
I help enterprises move beyond AI tool adoption into AI-native delivery.
I am an AI engineering executive and senior Big 4 technology leader working at the edge of engineering strategy, governed autonomy, and delivery economics.
I work with CTOs, CIOs and AI leaders to turn board-level AI ambition into operating systems for delivery: AI-native SDLCs, agent harness architectures, developer digital twins, multi-agent councils, and token economics.
Operating Focus
At EY, I have deployed AI-native operating models that lifted greenfield sprint velocity by 50%, reduced MuleSoft integration delivery from one sprint to two days, and compressed a $400M technology transformation from four years to three.
My 22-year career arc, from software developer to Big 4 Director, has moved through enterprise integration platforms, API architecture, cloud-native systems, data platforms, and now AI-native operating model design. I have built and scaled engineering teams across three Big 4 firms, originated $35M+ in technology deals, and delivered complex platforms for some of Australia's largest organisations.
I care deeply about building engineering organisations that compound: mentoring engineers, embedding quality through DevSecOps, and converting senior judgment into reusable AI capability.
Specialties
AI-native operating models, agentic SDLC transformation, harness engineering, multi-agent architecture, developer digital twins, agent councils, knowledge systems and org brain design, AI governance and policy-as-code, responsible AI controls, AI FinOps, enterprise cloud and data platforms, Azure architecture, integration and API strategy, DevSecOps, engineering organisation leadership, practice building, and technical pre-sales.
Industries
Financial Services, Power & Utilities, Government, Healthcare, Manufacturing & Supply Chain, and Retail.