Syed Riko integrated the RHELAI Large Language Model provider into the ansible/ansible-chatbot-service repository’s Prow CI workflow, enabling automated evaluation of RHELAI deployments within continuous integration pipelines. He designed and implemented a Kubernetes-native OLSConfig CustomResourceDefinition, allowing flexible configuration of model and deployment parameters for the provider. Using bash and yaml, Syed also developed a smoke test suite to validate end-to-end provider functionality in CI environments. This work improved the reliability and scalability of LLM-driven features by strengthening CI quality gates and accelerating feedback loops, demonstrating depth in CI/CD, Kubernetes, and shell scripting within a production-like setting.