My work centers on the gap between a promising model and a system a business can actually run: the context it draws on, the boundaries around what it's trusted to decide, the abstraction that keeps a solution portable across cloud providers, and the instrumentation that catches trouble before it reaches a customer.
At Accenture's Advanced Technology Center, I lead teams of forward-deployed engineers who embed with clients across healthcare, insurance, and financial services to take an AI initiative from an open question to a system running in production. I architect and build alongside them, develop the next generation of FDE talent, and turn what each engagement teaches us into patterns that help the practice scale. I try to stay agnostic about the tools: the best framework or hyperscaler is usually whatever the client already has in place.
This site is where I write about what I'm learning: the emerging trends, patterns, and ideas I see shaping enterprise AI, in my own words, independent of any client work.
Want to compare notes on agentic systems or explore a project together? Connect with me on LinkedIn.
# Currently exploring: agent evaluation harnesses, provider portability across hyperscalers, and what it takes for an agentic system to survive contact with production