Belizean software engineer and AI systems professional with international graduate research experience in smart mobility, transportation simulation, dispatch algorithms, and infrastructure reliability. I build backend systems, robotics control software, business operations applications, and data-driven research platforms.

I build for operational reality — schedulers, state machines, recovery paths, and metrics that reflect how systems behave under load, not just in demos.

Reproducibility matters. Whether it's MLflow experiment tracking for transit research or structured logging on a production robot, you should be able to trust what the data says.

Automation should reduce manual work without hiding the logic. I favor clear architectures, typed interfaces, and systems simple enough to debug when something breaks at 2 a.m.

Building a technology career from Belize has meant being resourceful and globally connected — graduate research in South Korea, remote engineering for a U.S. MIT spinoff, and hands-on operations software for local businesses at home.

I'm focused on proving that world-class engineering and AI adoption can happen from anywhere, especially where digital transformation has the most room to create impact.