I have spent my career in places where a bad decision is not just a bad quarter. It is a patient who receives the wrong medication, a family treated unfairly by a credit model, or a member whose data is not protected. Working there taught me that technology is only as good as the decisions it makes possible, and only as valuable as the trust people can place in those decisions.
Along the way I kept seeing the same gap. The people who build systems and the people who are accountable for them rarely sit at the same table. Engineers want to move fast. Risk and compliance teams slow things down to protect the organization. Both are right, and AI has made that gap wider and the stakes higher.
I started Violet Systems to close it. I write the code, design the data and build the models, and I also sit down with executives, auditors and regulators to explain why a system does what it does. Governance is not a document handed over at the end of a project. It is part of how the system is built.
Before choosing a tool, I want to understand what you are trying to decide, what evidence you have and what could go wrong.
If you cannot explain how a system reached its answer, you cannot defend it, improve it or fully trust it.
Done well, guardrails let teams ship with confidence instead of waiting on approvals and rework.
I build the smallest thing that answers the question well, prove its value, and grow it from there.
AI agents are starting to take actions, not just make suggestions. My research focuses on reusable patterns that let those agents work inside real-world rules: clear permissions, human checkpoints and a full record of every decision. The ideas I test there find their way into what I build for clients.
[Optional: a sentence or two about you outside of work, such as what you love, where you are based, or what drives you.]
I would love to hear about it.