Worked on the validatedpatterns/docs repository to enhance documentation for deploying large language models with Red Hat OpenShift AI. Focused on providing clear, actionable guidance for enterprise users, the work included detailed instructions for deploying Mistral-7B-Instruct and configuring the vLLM Inference Server to enable GPU-accelerated model serving. Markdown was used to update commands, configuration examples, and runbooks, streamlining the onboarding process and reducing deployment friction for AI workloads. Leveraged skills in Documentation, LLMOps, and OpenShift to ensure that the new materials addressed common pain points and improved clarity for teams adopting advanced model serving workflows in production environments.