Who you’ll work with
“I’d rather tell you not to use an LLM than sell you one you don’t need.”
I’ve spent my career building systems where mistakes are expensive: insurance platforms selling over a million policies, graph-backed intelligence tools for the Home Office, and AI that has to explain itself, or at least show where its answers came from. My MSc thesis was on neural networks for hate-speech detection, and I’ve enjoyed working through every stage of AI’s evolution since.
AI is more than LLMs. I’ve built with NLP, classical machine learning such as logistic regression and support vector machines, image classification, and plain deterministic rules, and I use whichever the problem needs.
I founded Stack Foundry in 2025 so that organisations can get senior judgement on AI without hiring a Big Four bench. You work with me directly, supported by AI agent squads I run and review, not by a team of juniors.
- Experience
- 8+ years of software engineering and technical leadership From graph intelligence at the Home Office to insurance platforms at Flock and Aviva Zero
- Education
- MSc Computer Science, Distinction · Birkbeck, University of London Thesis: character-level convolutional neural networks for hate-speech detection with intelligent adversaries
- Awards
- Hack Hate 2020: Best use of AI/ML, awarded by AWS Team entry; my CNN model did the classification. Also Best use of location, awarded by Esri.
- Certified
- BCS Foundation Certificate in Agile Also Mentoring Pathways Mentor Training, Birkbeck
- Focus
- Proptech · Insurtech · Healthtech Regulated, compliance-heavy work
- Previously
- Aviva Zero · Flock · Infinity Works (Accenture) · UK Home Office · Mott MacDonald · Imperial College London Organisations where Joe has worked as an individual engineer or consultant, before or outside Stack Foundry Ltd. They are not Stack Foundry clients and do not endorse Stack Foundry.