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I'm a self-taught software engineer and thought leader who believes the best systems don't just function—they endure.

I specialize in data strategy, responsible AI, and building maintainable solutions that serve the people who inherit them.

Background

Self-Taught Foundations

Born and raised in a small town in New Hampshire, my fascination with technology began at age ten. By middle school, I had taught myself enough Python to write basic cryptology programs—sparking a lifelong curiosity with systems thinking and logic. Entirely self-taught, my education came from the iterative process of learning by doing—thousands of lines of code, failed builds, and incremental insights.

Early Years

Guiding Principles

Maintainability as Integrity

Well-built systems demonstrate respect for those who inherit them.

Automation as Leverage

Automate the predictable to make space for creative problem-solving.

Augmentation over Replacement

Technology should enhance human capability and context awareness.

Transparency First

Systems and processes must be interpretable by design.

"I've learned that the systems that matter most are the ones directly enabling operations—the ones that need to be sustained. If it's not maintainable, its grave is already being dug. That reality shapes everything I build."

Get In Touch

Interested in discussing data strategy, responsible AI, or maintainable systems? Let's connect.

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