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.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BSc) Computer Science, Bachelor of Science (BSc) Computer Science at Cardiff University / Prifysgol Caerdydd
Contributions:15 commits, 12 pushes, 1 branch in 1 year 8 months
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