Chris Briggs is a freelance technologist and PhD researcher with 14 years of experience blending applied machine learning, data science and backend engineering for real-world systems. His current research at Keele University focuses on privacy-preserving federated learning for IoT within Europe’s largest smart energy living lab, aiming to enable smart metering adoption while protecting individual privacy. Chris pairs this academic depth with a history of building high-performance web platforms and APIs—ranging from CRM/CMS products and video transcoding pipelines to lead-generation services that delivered 250k+ enquiries. He’s comfortable across JavaScript, Node.js, Python and Go, and brings both research rigour and pragmatic production experience to AI-driven deployments. Based in rural Wales, he combines a curiosity-driven background (including astronomy studies) with hands-on consulting for AI, data and software projects.
14 years of coding experience
16 years of employment as a software developer
Diploma of Higher Education (DipHE), Astronomy, Distinction, Diploma of Higher Education (DipHE), Astronomy, Distinction at University of Central Lancashire
A-Level, Physics, Chemistry, Biology, A-Level, Physics, Chemistry, Biology at Alsager School
Contributions:47 commits, 2 pushes in 1 year 10 months
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Chris Briggs - Freelance Technologist at chrisxbriggs.com