I build AI-powered products and practical systems for messy workflows.

At Gametime, I build AI product systems for live event discovery. A lot of that work sits around image quality and decision-making: using generative AI to make venue, seat, and event experiences more useful before someone buys.

Outside of my day-to-day product work, I build tools and automations that help teams move faster. That can mean prototype workflows, internal AI tools, lead and research systems, content production pipelines, or lightweight apps that turn scattered information into something a team can actually use.

Before Gametime, I spent several years at Pluralsight working across generative AI education, content strategy, and internal AI tooling. I created hands-on AI and machine learning learning experiences, then moved into a creative technologist role focused on making content teams faster and more effective.

Earlier in my career I built software for healthcare, media, bootcamp education, and growth teams. I have worked as a software engineer, curriculum engineer, curriculum manager, growth marketer, author, and product builder, which is why I tend to see AI work as more than a model choice. The product, workflow, user experience, and business outcome all have to line up.

I also started my career outside of software, first in professional baseball and then in special education. Both still shape how I work: learn quickly, explain clearly, and keep improving the system around the people using it.