I build AI-native software for the physical economy.
I am the founder of MillFlow, an AI-native workflow platform for steel mills. MillFlow starts where commercial decisions meet physical production: quoting, scheduling, plant constraints, energy, and margin control.
I started coding at 18 as an artillery forward observer, building a mortar fire-computation calculator on an army-issued system. At 21, I founded Ophidia Medical Technologies and sold its first industrial smart-label system to GSK, combining connected labelling hardware, traceability software, and workflow logic for pharmaceutical operations.
Before MillFlow, I worked at McKinsey & Company, advising CEOs, CFOs, and senior operators across heavy industrials, infrastructure, energy, waste, and manufacturing. I worked closely with plants, sites, assets, capex, margins, and operational transformation.
I later served as a technology programme manager at The Portland Trust, working on technology-enabled healthcare systems, digital coordination platforms, and infrastructure programmes in the Middle East.
I studied Land Economy at Cambridge and Archaeology & Anthropology at UCL. That training shaped how I think about physical systems: tools, machines, sites, materials, artefacts, and infrastructure are not passive objects. They shape how people, institutions, and economies work.
Outside work, I write, read, row, and remain interested in art, archaeology, industrial systems, and the long-run development of civilisation – from steel mills to space.
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background painting inspired by Gauguine, generated by AI