Fluent in the model, the P&L, and the reality.

I've always believed technology is at its best when it solves meaningful human problems. That belief has shaped every major decision in my career — from working in insurance and reinsurance, to building AI-powered products, to investing my time in understanding how the next generation of AI will reshape the way people work, make decisions, and create value.

I'm a senior product leader with nearly two decades of experience building enterprise software across insurance, reinsurance, geospatial analytics, catastrophe intelligence, cloud platforms, data products, and artificial intelligence. One passion has driven all of it: taking complex business problems, understanding the people behind them, and building products that genuinely improve how they work.

Working in P&C insurance and reinsurance exposed me to problems that can't be solved by software alone. Catastrophe events, claims management, underwriting decisions, and portfolio risk demand an understanding of business, data, human judgment, and customer experience in equal measure. Rather than being intimidated by that complexity, I found myself energized by it.

Over time I gravitated toward products that combine AI, large-scale data, analytics, geospatial intelligence, cloud platforms, and customer decision support — interests that have naturally evolved toward agentic AI and intelligent autonomous systems. Today I spend much of my time at the intersection of product management, artificial intelligence, and enterprise transformation.

Many people see insurance as a traditional industry. I see one of the world's largest decision-making systems — sitting at the intersection of uncertainty, finance, geography, weather, economics, regulation, customer behavior, and increasingly, AI. Helping organizations respond faster after catastrophes ultimately helps communities recover more quickly. That sense of purpose has always mattered to me.

One thing has stayed constant throughout: I love building — not just products, but systems, frameworks, processes, and ideas. Great products begin with understanding people, not technology. The rest is moving continuously between executive strategy and engineering execution until something ambiguous becomes something structured and valuable.