AI/ML Inference Monitoring Platform
Deployed containerized ML models using Docker on GPU-enabled Azure VMs with CI/CD via
GitHub Actions. Integrated Prometheus, Grafana, and Loki monitoring for GPU utilization, inference latency,
and system performance. Ensured system reliability through proactive alerting and incident response workflows.
Azure VMsDockerGitHub ActionsGrafanaLokiPrometheus
ML Platform Secure Deployment
Designed and deployed ML services behind Nginx with HTTPS termination and path-based
routing configurations. Automated deployment workflows with CI/CD pipelines and container-based delivery.
Improved performance and reliability through optimized proxy and infrastructure setup.
NginxDockerCI/CDHTTPS
Automated CI/CD Pipeline on AWS
Built end-to-end CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy
with integrated testing and validation stages. Implemented rolling update and rollback mechanisms with
CloudWatch monitoring and IAM least-privilege access controls.
AWS CodePipelineCodeBuildCodeDeployCloudWatchIAM
IaC with Terraform & Ansible
Provisioned AWS and Azure infrastructure using Terraform with modular, reusable
patterns and remote state management. Automated configuration management and environment bootstrapping using
Ansible playbooks. Integrated IaC workflows into CI/CD pipelines for automated infrastructure plan/apply
cycles.
TerraformAnsibleAWSAzure