Senior mechatronics engineer with 6+ years taking electro-mechanical and robotic hardware from concept to the field — now bringing the same discipline of verification, control and fault-tolerance to AI and agent infrastructure.
Electro-mechanical and robotic modules — mechanical & thermal design, embedded electronics, sensor integration, closed-loop control — taken through DFMA, FMEA and on-site commissioning until they hold up in harsh, real-world conditions.
Open standards and audit tooling for autonomous systems — permissioning, world-model fidelity, and the kind of kill-gated, evidence-first discipline that engineering reliability demands, applied to AI infrastructure.
Lead engineer on an electro-mechanical module that applies protective coatings onto live power-grid conductors, deployed from a robotic base platform and UAV. Owned the full stack: embedded electronics, sensing, linear actuation and closed-loop control — concept through design-for-manufacture.
An open standard for AI agent permissions — "robots.txt for agent actions." A neutral, declarative way for systems to state what autonomous agents may and may not do, with a one-command quickstart reproducer.
A controlled study of whether learned representations actually capture what causes outcomes. Built a contract-safe harness with stored splits and per-joint consequence targets in a physics simulation, then measured how well different latents recover causally-decisive variables.
Doctoral research at the University of Reading: physics-based simulation of human upper-limb motion. Forward/inverse dynamics and muscle-driven models for tennis stroke mechanics, validated against the Robotics System Toolbox, with a 7-DOF rigid-body model confirmed in full 3D.
I'm extending the engineering discipline that keeps hardware alive in the field — control, fault-tolerance, evidence-first verification — into the tools that will keep AI agents trustworthy. Open to senior roles, collaboration on agent-reliability infrastructure, or a conversation about hard systems problems.