Andrew Griffiths is an ML & Data Platform Engineer with 13 years’ experience building and operating scalable data and ML platforms across AWS and Azure for retailers, insurtechs, media and education. He has a track record of delivering production-grade platforms quickly—launching a Kubeflow ML platform in under three months and rolling out Synapse- and EKS-based data platforms processing millions of customer records. Comfortable across backend, DevOps and cloud-native tooling, he’s built Kubernetes PaaS, CI/CD pipelines, serverless event-driven warehouses and real-time IoT processing systems. An active open-source maintainer, he authored a Golang repo-security-scanner that has attracted significant attention and added features like Elasticsearch logging and auth middleware. Based in England, he combines pragmatic engineering with security-aware platform design to help teams move models and data to production reliably.
Boilerplate flask app that is portable between different serverless platforms (AWS, Azure, GCP).
Contributions:13 commits, 8 PRs, 16 pushes in 3 years 11 months
awsazureflaskgcpserverless
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