Writing
Honest, hands-on perspectives from 12+ years building and deploying AI systems — the tools I actually use, the lessons that don't make it into papers, and the thinking behind the work.
Series
Lessons from AI projects in the field — told not as case studies, but as conversations. The kind that stay with you.
I went to see the Rabbi because the machine had begun to answer questions I did not remember asking. What happens to human judgment when a machine answers every question?
Moving beyond toy demos — the real challenges of deploying large language models inside manufacturing and energy pipelines.
The infrastructure, processes, and hard-won practices behind keeping ML models alive and useful across multi-year R&D programmes.
Building robust vision systems for non-destructive testing — lessons from the shop floor that you won't find in any paper.
The recurring patterns and common pitfalls I see when helping large organisations translate AI ambitions into deployed systems.
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