Mr. Sridhar Kumar Irujolla

Modern MLOps: Modern MLOps: Scaling AI Across Clouds with Automation and Cost Efficiency

Abstract:

This talk introduces a cost-aware MLOps framework that enables intelligent automation of ML deployments across AWS, Azure, and Google Cloud. By integrating Kubernetes, Kubeflow, Terraform, and a CAMS scheduling algorithm, the solution optimizes for cost, latency, and resource availability. It reduces deployment time by 40% and cuts operational costs by 35%, offering a scalable and cloud-agnostic approach to modern AI lifecycle management.
 

Profile:

Sridhar Kumar Irujolla is a seasoned Technical Architect with over 15 years of experience in designing scalable, secure, and innovative cloud solutions aligned with strategic business goals. He holds deep expertise across AWS, Azure, and Oracle Cloud Infrastructure (OCI), with a strong track record in architecting hybrid and non-hybrid environments, driving AI-driven initiatives, and ensuring compliance and security. Sridhar is also proficient in DevOps, Infrastructure as Code (IaC) using tools like Terraform, Jenkins, and Docker, and is passionate about leveraging AI/ML to create data-driven business value. Known for his collaborative leadership and ability to mentor technical teams, he consistently delivers impactful, enterprise-grade solutions.