Engineering for environments where reliability and impact both matter.

My core work has centered on production software for manufacturing environments, where the standard is not just technical correctness but operational reliability. That has meant moving systems from early prototype to real deployment, working across engineering, plant operations, and leadership teams.

I work primarily with Python and Java, with a strong interest in data-driven system design, optimisation, and computer vision. A significant part of my recent work has focused on manufacturing intelligence: detecting line risks early, improving decision-making with analytics, and building solutions that hold up in production.

Alongside industry work, I have continued to build academic depth through advanced study in artificial intelligence, security, and mechanical engineering. Patents, publications, and selected projects reflect that overlap between research and production engineering.