Full Stack Developer

I am a software engineer, systems developer, and mathematician specialising in high-performance software systems, developer tooling, automation, and full stack application development. My work spans low-level systems engineering through to modern web infrastructure, with a strong focus on reliability, optimisation, and scalable architecture.

I have extensive experience working with C++, C#, Linux infrastructure, backend systems, DevOps workflows, and web technologies. Over the course of my career, I have developed software across operational environments including SCADA infrastructure, automation systems, developer platforms, and internal business applications.

From 2023 to 2025, I worked as a Full Stack Developer at Murray Irrigation Limited, where I rebuilt and modernised critical SCADA infrastructure and developed internal operational systems supporting irrigation management, monitoring, and automation workflows.

Prior to this, I founded and led development of Nift, a high-performance cross-platform static site generator and developer tooling ecosystem written in C++. Over several years, I designed and maintained the platform’s architecture, templating systems, deployment workflows, packaging, releases, and open source ecosystem integrations with platforms including GitHub, GitLab, Netlify, and Vercel.

Alongside my software engineering career, I have an academic background in mathematics, economics, and quantitative modelling. I completed a PhD in Mathematics at the University of Tasmania, with research focused on algebraic combinatorics and diagram semigroups. My published research has appeared in journals including the Journal of Algebra, Journal of Combinatorial Theory Series A, and Annals of Combinatorics.

I have also worked as a university lecturer and tutor, teaching mathematics, statistics, econometrics, and quantitative analysis at undergraduate level.

My broader interests include algorithms, optimisation, developer tooling, open source software, systems architecture, and applied problem solving at the intersection of mathematics and computing.