Summary
Gary Devenay is a Principal Engineer specializing in Machine Learning and Data Engineering with nearly two decades of software experience and a proven ability to translate complex technical challenges into measurable business value. He has led AI and cloud-native transformations for startups and enterprises alike, from architecting an AWS-native lakehouse and multi-tenant SaaS processing over a billion monthly data points to deploying custom transformer models and real-time event detection systems. As a former CTO he has shipped award-winning consumer mobile apps and built an intelligence SaaS that delivered substantial client impact, and he pairs hands-on engineering (Golang microservices, Kubernetes, streaming) with executive-level product and commercial instincts. Based in Edinburgh, he is pragmatic about governance and operationalisation—building data platforms that are as secure and maintainable as they are innovative. An underrated strength is his track record of closing deals and aligning engineering roadmaps with revenue outcomes, demonstrating rare fluency across tech, product and business.
11 years of coding experience
15 years of employment as a software developer