I'm Steel Cardoza

Based out of the PNW, governing AI models for Energy and Manufacturing

Model drift is the silent failure mode of every automated inspection system. Teams invest millions, but when the underlying data shifts (new lighting, sensor noise), the AI fails silently.

Origin

Everyone seems to think that automation is 100% hands-off after development. They build a new machine or train a new model, and expect it to work in perpetuity. My experience has shown me that is simply not how the real world works.

I've been developing automated systems since the invention I published in undergrad. I know first hand the grit it takes to get an automated solution working, but more importantly how it requires continuous human interfacing to stay working.

Experience in High-Stakes Environments

From early on building maintenance and inspection planning systems for one of the largest Oil & Gas refineries in the world, to building an entire Computer Vision R&D team in the most expensive manufacturing space ever, I know the consequences of failure in high stakes environments.

My Methodology

I offer a continuous retainer meant to act as your MLOps governance team.

The Model Drift & Data Governance Audit

We'll start with a fixed-bid audit of your current system. You'll get a report outlining the exact vulnerabilities that will bog your team down in maintenance, and I'll know what I'm getting myself into by offering to manage it for you.

The MLOps Governance Retainer

This is a recurring-fee fractional service that maintains your ML model performance and uptime for you. Using your existing infrastructure, I'll install and operate all the training and inference architecture I've been able to hone in my years of professional experience.

You secure continuous, mission-critical expertise without the overhead of hiring, training, and retaining a scarce, senior MLOps team.

I focus on prevention, implementing systems that alert and auto-correct before model drift impacts your inspection accuracy and drives up OPEX.

Long Term

Don't worry, you're not stuck with me forever. Hopefully, the time I save your business allows you to grow, eventually getting to a scale that would require a dedicated and internal MLOps team. Since I've done it before, I can help build that team, hand off knowledge and operations, congratulate you on your success, and we can go our separate ways.

Ready to stop model drift and guarantee the reliability of your assets?