The boring work that saves the company.

What I actually do

The simplest way to describe it is this: I build the mechanism that turns AI from an expense into a return.

When a company deploys AI at scale, three things quietly determine whether the investment pays off:

• Measurement: Most companies can tell you how much they spent on AI last quarter. Almost none can tell you what they got back.
• Safety: What happens when the model gets it wrong? Who notices? How fast? What's the process for pulling the cord?
• Adaptability: When you pivot, does your AI pivot with you, or does it quietly become a drag?

These aren't exotic problems. They are the same problems banks and financial institutions have been solving for a century. The only thing new is the technology.