CV

For over two decades, I have worked on complex, high-stakes challenges where the margin for error is narrow and the consequences are real. My career in Defense Tech was never simply a job; it was a commitment to a mission larger than myself. That same desire for impactful work draws me toward one of the most consequential inflection points in modern business: the practical adoption of artificial intelligence (AI). Today, as organizations navigate the disruptive wave of AI, many struggle to bridge the gap between capability and adoption. I see a profound opportunity to help enterprises define high-value use cases, optimize their AI investments, and unlock exponential workforce productivity.

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My core domain expertise is in advanced Decision Support Systems (DSS), building capability to achieve decision dominance. The Defense Tech disciplines of Intelligence, Surveillance & Reconnaissance (ISR) and Command & Control (C2) may sound specialized, but their underlying principles — large-scale data fusion, advanced analytics, hyper-scale infrastructure, and human-computer interface design — are the same principles powering today's most sophisticated AI solutions. The parallels to agentic workflows are direct. ISR is the Sense layer: ingesting data from disparate sources, fusing them into coherent signals, and surfacing actionable insight from noise. C2 is the Decide layer: translating insight into viable courses of action, evaluating tradeoffs, and issuing clear direction for execution (i.e., Act). Together, they form a data-to-decisions value chain that is as relevant in healthcare, finance, manufacturing, entertainment/sports, logistics, and retail as it is on a battlefield.

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Functionally, I bridge the gap between executive business strategy and production-level technical execution. Operating comfortably as a Solution Architect and as a leader in Enterprise Modernization, I ensure technology investments solve authentic business problems and deliver measurable ROI. This breadth allows me to operate effectively across three critical pillars: architecting complex solutions, directing technical execution, and driving business growth and capture.

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I am not someone who arrived at AI by proximity. I arrived through 2 decades of building the systems that AI is now being asked to replicate and extend. I understand the architecture, the data challenges, the organizational change required, and the gap between a compelling demo and a production-grade solution. If your organization is working to move from AI curiosity to AI capability — and to generate the kind of productivity gains that actually show up in outcomes — I would welcome the conversation.