Quality has always been part of my work.

How I think about quality

You notice when it’s missing.

When things work well, quality often goes unnoticed. When they don’t, the impact can be hard to ignore. That’s what draws me to this work: understanding where things can go wrong and building checks that help catch problems early.

At Revelo, I evaluated more than 500 LLM outputs and ran acceptance checks in Docker. I’m also building tools to make AI evaluation easier. An agent can answer the same question differently each time, which makes deciding whether it’s working well an interesting testing problem.

My pharmacy studies gave me this quality mindset before I moved into software. The program emphasized standards, traceability, test planning, risk management, and careful documentation. I still draw on that training when deciding what to test and how to record the results.