Matt Harrison is an AI Solutions Architect and seasoned full-stack engineer with 14+ years building JavaScript web applications and production ML tooling. Based in Stevenage, he has led core architecture and delivery at NearForm—designing high-throughput notification systems, a client-side cryptographic caching algorithm that cut load times by ~70%, and gitops deployments to Kubernetes. He combines practical DevOps and platform-building experience with hands-on ML work, shipping a self-contained document-similarity tool and a fine-tuned BERT summariser for internal demos. Comfortable across Node.js, Go, Python, React and AWS, he’s equally adept at automating developer workflows and crafting secure, offline-capable ML distributions for sensitive data. An architecture graduate pursuing an MS in CS (ML) at Georgia Tech, he brings an uncommon blend of design thinking and systems-level engineering to product problems.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Arts - BA, Architecture, Bachelor of Arts - BA, Architecture at The University of Manchester
Master of Science - MS (Ongoing), Computer Science (Machine Learning Specialization), Master of Science - MS (Ongoing), Computer Science (Machine Learning Specialization) at Georgia Institute of Technology
Contributions:227 commits, 77 PRs, 64 pushes in 28 days
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Matt Harrison - AI Solutions Architect at NearForm