I've always been drawn to how logic and computation work at a fundamental level. That early fascination with machines and physics led me to explore everything from system architecture to advanced debugging and security diagnostics.

At AT&T ConnecTech, I remotely resolved thousands of technical issues for clients across the U.S. One of my most challenging moments was handling six simultaneous FBI ransomware infections—successfully neutralized in under ten minutes. That experience taught me not just technical depth, but the value of clear thinking under pressure.

Over time, my curiosity took me beyond classical computing into quantum theory and computational mathematics. I’m also one of the few to have solved the Archimedes’ Cattle Problem, a centuries-old numerical puzzle. Today, I’m focused on building secure, AI-driven training systems designed for scale and impact.