Summary
Charles Hunn is an AI-focused full-stack engineer with nine years of commercial experience building data-driven web platforms and production ML services across government, academia, and startups. He has led architecture and migration efforts—moving monolithic NLP systems to containerised microservices and modern front-ends using React, TypeScript and D3—while applying psychological and language-analysis techniques to real-world security problems. Recent roles include rebuilding national transport datasets at the UK Department for Transport and contributing to cross-department data sharing and visualization at the Office for National Statistics, showing strength in compliant, collaborative public-sector delivery. Equally comfortable in hands-on development and small-team leadership, he co-founded and led product development at Docman Solutions and has a formal MSc in Artificial Intelligence from the University of Edinburgh. Colleagues describe him as a principled, pragmatic coder who prioritises clean, maintainable systems—often surfacing subtle behavioural signals from language data that others miss.
9 years of coding experience
21 years of employment as a software developer
Master of Science (MSc) Artificial Intelligence, Master of Science (MSc) Artificial Intelligence at The University of Edinburgh
Diploma Economics, Diploma Economics at The Open University
City & Guilds Advanced Diploma Software Engineering, City & Guilds Advanced Diploma Software Engineering at UCEN Manchester
Bachelor of Science (BSc) Neuroscience, Bachelor of Science (BSc) Neuroscience at University of Lancashire