Building connected AI products
Creating Roster and Helix Engineering: products that give recurring work an owner and help software teams understand the systems they build.
I'm a software engineer and AI product builder focused on systems that understand the work around them, not just the prompt in front of them.

I like the space where deep engineering, product judgment, and clear communication meet.
My background is in full-stack product engineering. Today, I apply that foundation to AI systems, knowledge graphs, agent workflows, and the interfaces that make complex technology feel understandable. I care about useful outcomes, honest product behavior, and software that earns trust through evidence.
Each chapter added another layer: code, products, AI systems, and the judgment to connect them.
Creating Roster and Helix Engineering: products that give recurring work an owner and help software teams understand the systems they build.
Publishing practical field notes on DEV about TypeScript, Next.js, AI architecture, engineering graphs, and the lessons that surface after shipping.
Built a full-stack engineering foundation and brought it into real product environments, including time as an engineer at Shippo.
Graduated from Bloom Institute of Technology and began turning curiosity about how systems work into a career building useful software.
Model the people, evidence, decisions, and dependencies around the work before asking AI to act.
Make progress, state, and outcomes visible enough that a human can understand and verify the system.
Treat architecture, interface design, and the final sentence of copy as parts of the same product.