A career shaped by interface shifts.

I'm Aaron Sherrill—a self-taught technologist who has spent nearly two decades exploring how new capabilities change the way humans interact with computers. I didn't come up through a single formal lane. I learned by chasing what felt interesting, figuring out how it worked, and building with it.

That pattern started with ActionScript and interface-focused development, moved through websites and iOS apps, and kept expanding into experimental systems: location-based products, computer vision, hand tracking, Kinect-based body gesture detection, neural headset input, voice interaction, and 3D interfaces. The common thread has always been the same: I'm drawn to moments when the interface changes and new possibilities open up.

Today that work centers on AI. For the last several years I've been building with language models, agents, MCP servers, and automation workflows—not as abstract research, but as tools that can change how work gets done. What interests me most is turning emerging capability into something operational, useful, and real.

The throughline

What I've done

Over the years I've built websites, shipped iOS apps, created a location-based photo sharing app with a few thousand users, and worked in R&D around emerging technology. I've experimented with computer vision, hand tracking, Kinect gesture systems, voice detection and control, neural headset input through Emotiv, and 3D interface work. I've also spent years being the person clients come to when they want someone who can research a new space quickly, understand it deeply enough to make decisions, and then build something with that understanding.

That background is why AI fits so naturally into the larger arc of my work. It isn't a random pivot. It's the latest interface shift—and maybe the biggest one yet. For about three years now I've been working deeply with AI systems and agents, exploring how to steer them, structure them, and use them to automate parts of my life and create capabilities I hadn't seen before.

Community and enablement

I also facilitate an AI Playground workshop quarterly for The Community Foundation for Greater New Haven, focused on helping nonprofit leaders understand and use AI in ways that advance their missions. That work matters to me because it keeps the conversation grounded in people, constraints, and real-world usefulness—not just hype.