Worlds builds physical AI that turns raw data from cameras, maps, and IoT sensors into live, continuous models of reality. As CTO, I lead the development of an AI platform trained to understand structure, identity, and motion across physical environments. Our customers use it to build agents that operate autonomously in industrial settings, measuring efficiency, automating tasks, and predicting outcomes that traditional software simply cannot.

Co-founded and built a mobile shopping platform before the category existed. The tools we built became the blueprint for the industry. Key Ring integrated loyalty cards, offers, and retailer data into a single consumer experience that scaled to 15 million users. The platform’s personalization and ad-tech systems were driven by data integration across dozens of retail partners. Acquired by Gannett in 2012.

Designed and built the analytics platform that turned AT&T’s raw subscriber data into a decision engine. Billions of records nightly, from dozens of upstream sources, processed through one optimized pipeline. The system powered churn prediction, acquisition, and inventory optimization across the business. The core problem, turning massive, noisy, uneven data sets into an asymmetric advantage, is the same one I’ve been solving ever since.