Summary
Ashton Fagg is a Chief Technologist and computer vision specialist with 11 years of experience building real-time perception systems for robotics and autonomy. He combines deep academic training (PhD in Computer Vision) with hands-on expertise in performance-focused C++, numerical computing, and embedded platforms. Ashton has led perception engineering at startups and industry teams—shaping systems at Mach9 Robotics, Aurora, and Uber ATG—and now runs AFWare delivering custom CV solutions. He is opinionated about operating systems and tooling, prioritizes robust, efficient, and safe designs, and has little patience for low-quality code or trendy, unproven tech. Based in Pittsburgh, he brings both research rigour and production pragmatism, often optimizing for strict latency and resource constraints that others overlook.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Vision, Doctor of Philosophy (Ph.D.) Computer Vision at QUT (Queensland University of Technology)
Bachelor of Engineering (BEng) Computer Systems, Bachelor of Engineering (BEng) Computer Systems at University of Southern Queensland
English, Japanese