My background is rooted in full-stack software development — years of building systems for the web and backend using Python, TypeScript, and JavaScript, with PostgreSQL and classic SQL/REST architectures at the core. I’ve worked across every layer of the stack, from interface design and data modeling to deployment and optimization.

Over time, that foundation expanded into more experimental spaces. I’ve worked on blockchain-based systems on Cardano, built visual and collaborative tools with tldraw, and developed projects that required connecting technical structure with creative problem-solving.

Today, my focus is on AI-enabled web and mobile applications — blending my past experience with modern AI tools such as DSPy and GEPA to create systems that learn, adapt, and respond intelligently.

Outside the strictly technical, I bring experience in community building and facilitation. I’ve led and collaborated with international, volunteer-driven teams, leading the efforts of a wide ranging group of people in exploring the frontiers of online coordination, learning how to align diverse skill sets toward shared goals — a background that deeply informs how I design both systems and organizations.

I bring this background into solving novel, meaningful problems — applying software and AI to areas that capture my curiosity. My interests span systems thinking, economics, and history, and they inform how I approach design and engineering: seeing technology not just as tools, but as evolving systems within larger human contexts. What I build often begins as an idea worth exploring — something complex, overlooked, or simply too interesting to ignore.