Daniel Harborne

AI Development Lead at Meaning Machine

City of Edinburgh, Scotland, United Kingdom
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Summary

👤
Senior
🎓
Top School
Daniel Harborne is an AI Development Lead with a decade of experience translating research-grade machine learning, computer vision, and conversational AI into production systems for creative and commercial applications. He currently drives Meaning Machine’s Game Conscious™ narrative tools, combining R&D insight with scalable stacks to bring interactive worlds and characters to life. Previously as CTO at Route Konnect he engineered privacy-first multi-camera analytics that eschew facial recognition while achieving unusually high object-detection accuracy and cost-efficient real-time infrastructure. His background includes impactful work at Amazon on revenue-generating ad systems and fairness in AI, and earlier research on machine learning interpretability and human-in-the-loop systems. Based in Edinburgh and trained in Computer Science at Cardiff, he blends academic rigor with product-focused delivery and a knack for turning complex ML research into practical, privacy-preserving services. An understated strength is his consistent focus on operationalising research—moving prototypes through to measurable business outcomes.
code10 years of coding experience
job10 years of employment as a software developer
bookBachelor of Science (BSc) Computer Science, Bachelor of Science (BSc) Computer Science at Cardiff University / Prifysgol Caerdydd
languagesEnglish, French, Japanese
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Github Skills (49)

modular10
minecraft9
machine-learning9
deep-learning9
api8
authentication8
api-documentation8
aws-amplify8
aws8
storage8
aws-lambda8
lambda-functions8
aws-appsync8
aws-fargate8
interpretable-machine-learning7

Programming languages (6)

TypeScriptJavaDockerfileJavaScriptJupyter NotebookPython

Github contributions (5)

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Project 5 AFM 2018 Demo - Modular Interpretability Interface
Contributions:370 commits, 123 pushes, 1 branch in 1 year
interpretabilitydeep-learningafmmachine-learningmodular
HarborneD/m-PVT

Oct 2016 - Jun 2018

Contributions:15 commits, 12 pushes, 1 branch in 1 year 8 months
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