Today, I contribute to edge AI innovation at Edge Impulse (a Qualcomm Company), 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 behaviours for next-generation products at scale.
I have also mentored engineering talent as an Industrial Mentor with the 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 organisations avoid costly mistakes by getting architecture right the first time — especially when the stakes are high and the system must perform outside the lab.