I build intelligent systemsthat move from simulationto the real world.

I build operational AI systems for physical and edge environments under real infrastructure constraints.

My background leading nationwide wireless deployment gives me a systems-level view of AI deployment, especially where telemetry, infrastructure reliability, edge inference, and real-time operational constraints matter.

My current work spans Physical AI, edge inference, computer vision, runtime observability, and operational safety. Across my flagship projects, I work with Jetson-based inference, ROS 2 robotics, simulation, defensive telemetry, and time-series forecasting, with AI-RAN KPIs as one telemetry source among others.

The common thread is simple: AI systems should not just run once in a demo. They should be measurable, observable, reliable, and useful under real constraints. My passion is bridging the sim-to-real gap.