David Newman is an AI engineering lead with 11+ years of experience guiding teams from startup CTO roles to platform-scale engineering at Automattic and Red Hat. He blends hands-on expertise across the full stack—from embedded systems to cloud-native AI deployments—and drives product strategy, SRE practices, and DevOps automation. Notable open-source contributions include backend and build-pipeline fixes for Azure Red Hat OpenShift RP, where his changes prevented HTTP 500s and modernized Go/Kubernetes dependencies. Based in Queensland, he pairs a distinction-level Computer Science (AI) degree with a pragmatic, Bayesian-minded approach to problem solving that favors graceful failure modes and measurable outcomes.
Contributions:2 releases, 312 reviews, 122 commits in 11 months
Contributions summary:David primarily focused on back-end development, fixing bugs related to resource listing in the Azure Red Hat OpenShift RP. They implemented code modifications to handle unknown API versions gracefully, preventing HTTP 500 errors. Additionally, they made significant changes to the project's infrastructure, updating the Go version, Kubernetes modules, and managing dependencies by modifying the go.mod file. The user also contributed to automation by incorporating updates from "make generate" and adjusting test configurations, demonstrating DevOps and build pipeline knowledge.
Parallel HTTP health monitoring, which is employed for the Jetpack Site Monitor
Contributions:6 PRs, 13 pushes, 6 branches in 8 years 3 months
monitorsite-monitorjetpack-composeparallelhealth
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