I have a background in mechatronics and control systems engineering, with experience in model-based systems engineering, simulation modelling, and decision science. My work has helped organisations specify, design, validate, and operate complex cryptoeconomic systems. My expertise includes full-stack web and mobile development, DevOps, systems programming, and simulation modelling, with a particular focus on data-driven applications, decision-support tools, and performance-critical software. I teach model-based systems engineering using the Python simulation modelling framework radCAD, which I developed at CADLabs. The coursework was funded by organisations such as the Ethereum Foundation, The Graph, Balancer Labs, Ocean Protocol, Reflexer, Outlier Ventures, and Protocol Labs.