About

Building software since 2007 — AI systems, computer vision, software architecture, and production environments where reliability and practical deployment matter.

My work spans computer vision, production ML, software architecture, and performance-critical systems where reliability, operational constraints, and practical deployment matter.

My engineering foundation was built in industrial software, embedded systems, and control software for mission-critical environments — including airport infrastructure, offshore oil systems, and public utilities. Experience in environments where reliability constraints are non-negotiable shapes how I approach AI and software systems today.

At AB InBev, I led architecture for SODA Vision, the company's proprietary end-to-end computer vision platform. Through Baunilha Systems, I deliver applied AI solutions for global clients — including vision systems, offline-first inference pipelines, and software that bridges cloud workflows with deterministic execution in constrained environments.

I'm especially interested in computer vision, AI runtimes, developer tools, and software systems that need to be both technically strong and practical to operate.