I will build mlops and llm pipelines on AWS azure using kubernetes

Are you looking for a senior DevOps and MLOps engineer to automate your infrastructure, streamline deployments, or build production-grade ML pipelines?

With 6+ years of hands-on experience across AWS and Azure, I deliver enterprise-level solutions that are scalable, secure, and production-ready.

What I can build for you:

• CI/CD pipelines using GitHub Actions, Azure DevOps, or Jenkins
• Kubernetes deployments on AKS or EKS with Helm and Argo CD
• Infrastructure as Code using Terraform and AWS CDK
• End-to-end MLOps platforms with Azure ML and MLflow
• LLM inference pipelines using LangChain, vLLM, and RAG architecture
• Model monitoring, drift detection, and automated retraining
• DevSecOps integration with SonarQube, Trivy, and Checkov
• Observability stacks using Prometheus, Grafana, and Loki

Why work with me:

• Reduced deployment times by 50% for enterprise clients
• Maintained 99.9% production uptime across Kubernetes workloads
• Delivered MLOps platforms cutting release cycles from weeks to days
• Worked with global clients including Publicis Sapient, Novelis, and Micron

Message me before ordering to discuss your requirements.