
Developed an enterprise deployment pattern for OPEA Chat QnA, focusing on scalable AI/ML deployment on Red Hat OpenShift with GitOps and AMD Instinct hardware acceleration. The work, contributed to the validatedpatterns/docs repository, encompassed end-to-end implementation including setup, prerequisites, model preparation, deployment verification, and continuous delivery. Leveraging skills in cloud computing, containerization, and DevOps, the solution established a GitOps-based workflow for automated deployment and verification in production-like environments. Integration with Red Hat and AMD technologies provided a robust foundation for enterprise scalability and future reuse. Documentation was authored in adoc, ensuring clarity and reproducibility for future deployments.
In May 2025, delivered an enterprise deployment pattern for OPEA Chat QnA on Red Hat OpenShift with GitOps and AMD Instinct. Implemented end-to-end pattern covering prerequisites, model preparation, deployment verification, and continuous delivery, enabling scalable, enterprise-grade deployment with hardware-accelerated performance. Coordination with Red Hat and AMD technologies established a robust foundation for future scale and reuse.
In May 2025, delivered an enterprise deployment pattern for OPEA Chat QnA on Red Hat OpenShift with GitOps and AMD Instinct. Implemented end-to-end pattern covering prerequisites, model preparation, deployment verification, and continuous delivery, enabling scalable, enterprise-grade deployment with hardware-accelerated performance. Coordination with Red Hat and AMD technologies established a robust foundation for future scale and reuse.

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