About Moe

I help founders and product leaders building hardware + AI products make the right architecture decisions early, so they can scale confidently and avoid expensive technical debt.

I work at the intersection of edge AI, IoT systems, robotics, and production architecture. My core focus is future-proofing technical strategy: translating complex engineering choices into practical execution paths that reduce risk and improve speed to market.

Today, I contribute to edge AI innovation at Edge Impulse, where teams build and deploy machine learning on constrained devices in real-world conditions. This work reinforces what matters most in production: robust architecture, deployability, reliability, and lifecycle planning.

Previously, I served as Associate Principal Software Engineer in Dyson’s Future Robotics department, developing intelligent robot software and behaviors for next-generation products at scale.

I have also mentored engineering talent as an Industrial Mentor with Dyson Institute of Engineering and Technology (DIET) and the University of Bristol, supporting teams in turning technical ideas into executable systems.

Earlier in my career, I was a Research Associate at Bristol Robotics Laboratory on the SMARTsurg European project, focused on intuitive tele-operated surgical robotics, and a Fellow at the Italian Institute of Technology (IIT) Advanced Robotics Lab (ADVR), working on robotic teleoperation for hazardous environments.

Across these roles, one theme remains consistent: helping organizations avoid costly mistakes by getting architecture right the first time — especially when the stakes are high and the system must perform outside the lab.