Client: AI startups, providing DevOps and cloud engineering services to support client delivery and modernization. • Led AI delivery initiatives that improved project efficiency by 25% by aligning implementation with proven engineering practices and operational controls, using AWS Bedrock and Azure AI Foundry. • Improved operational efficiency by 30% by defining delivery strategies and execution standards for EKS and AKS environments, using KEDA+Prometheus and Karpenter to support scalability, GitOps delivery, and cost control. • Raised engineering standards by promoting knowledge sharing, collaboration, and continuous improvement across teams, applied to Java, Go, Python, and TypeScript workloads. • Used Cloudflare Workers and AI services at the edge to support low-latency workloads. • Enhanced AI reliability, maintainability, and stability by applying classical computer science principles to managed AI services and GPU-based ML workloads on Kubernetes.