Dinesh Kalluri

Devops Engineer @Ncpl Inc

Designed, implemented, and managed scalable CI/CD pipelines for cloud-native applications and ML workflows, ensuring seamless integration and automated deployments• Automated infrastructure provisioning using Terraform and AWS CloudFormation, streamlining resource management across AWS environments (EC2, S3, EKS, RDS)• Developed and deployed containerized applications using Docker and orchestrated containers with Kubernetes on AWS EKS, improving scalability and reducing downtime for production systems• Leveraged AWS Code Pipeline, Jenkins, and GitHub Actions to create automated deployment workflows, reducing manual intervention and accelerating release cycles• Built and maintained end-to-end ML pipelines, from data ingestion to model deployment and monitoring, improving model deployment efficiency and reducing model training time• Managed deployment and scaling of ML models on AWS Lambda and EKS, optimizing inference times and ensuring high availability• Integrated monitoring and logging solutions using AWS CloudWatch, Prometheus, and Grafana, enabling proactive performance monitoring and model drift detection• Implemented security best practices on AWS, including IAM roles, VPC configurations, and data encryption, ensuring compliance with industry standards like GDPR and HIPAA• Contributed to Agile processes, actively participating in scrum ceremonies, sprint planning, and retrospectives to drive project delivery and continuous improvement