Summary
Lee Bowyer is a Cloud Native Architect with 15 years of hands-on experience building resilient, scalable systems across cloud, big data and machine learning domains. He has moved between startups and hyperscale infrastructure roles, most recently shaping AWS region build automation at Amazon and now leading cloud-native design at CluePoints. His work spans the full lifecycle—from low-level systems and deployment pipelines to model development and optimisation for computer vision and ML inference on edge devices. Comfortable with Terraform/CloudFormation, serverless and container platforms, he pairs deep Python and ML framework expertise (TensorFlow, PyTorch, Keras) with proven production engineering at scale. Colleagues rely on him to bridge research-grade ML and operational engineering, and he’s known for squeezing models and pipelines into resource-constrained environments. Based in the UK, he brings a pragmatic, caffeine-fueled approach to turning complex data problems into reliable, auditable systems.
14 years of coding experience
15 years of employment as a software developer
University of Wolverhampton