I am a results-driven DevOps Engineer, Cloud Solutions Architect, and MLOps Engineer with a strong foundation in software engineering, specializing in designing, automating, and optimizing scalable cloud and AI-driven solutions. My expertise spans AWS, Azure, and GCP, where I design and implement CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps), reducing deployment errors by 40% and enhancing delivery speed. I leverage containerization (Docker, Kubernetes – EKS), Infrastructure as Code (Terraform, Helm, CloudFormation), and microservices architectures to build resilient, high-performing systems. With deep expertise in Machine Learning and MLOps, I integrate AI-driven automation into cloud environments, bridging the gap between development and intelligent operations. My focus is on building scalable, production-ready ML pipelines that enhance efficiency and drive business value.