I am a Cloud and DevOps Engineer with over 5 years of experience building, automating, and maintaining production cloud infrastructure across AWS, Azure, and GCP environments.
I specialize in Infrastructure as Code and configuration management, using Terraform and Ansible to create reusable, consistent, and scalable environments while reducing configuration drift and manual effort.
I have extensive experience designing and operating CI/CD pipelines with tools such as Jenkins, GitHub Actions, Harness, GitLab CI, and Bitbucket, supporting reliable software delivery and faster release cycles.
I have worked deeply with Kubernetes, OpenShift, Docker, Helm, and cloud-native platforms to support containerized workloads, enterprise application deployments, and large-scale AI inference infrastructure.
I also focus on observability, reliability, and security, using Prometheus, Grafana, OpenTelemetry, Splunk, CloudWatch, IAM governance, RBAC, and secrets management to improve platform stability and operational visibility.
Throughout my career, I have partnered closely with engineering teams to modernize infrastructure, migrate workloads, improve developer experience, and automate operational processes across enterprise environments.
I hold certifications in AWS Solutions Architecture and Terraform, and I have contributed to open-source and enterprise AI inference initiatives, including deployment automation, orchestration blueprints, and operational documentation.
Partnered with AI engineering teams to design and deploy scalable infrastructure for enterprise AI inference workloads across Kubernetes and OpenShift. Built reusable Infrastructure as Code and Kubernetes deployment patterns for 20+ LLM models. Developed Python and Bash automation to provision, configure, and validate AI infrastructure. Designed highly available containerized inference platforms supporting Intel Gaudi accelerators, NVIDIA GPUs, and CPU workloads. Implemented observability with Prometheus, Grafana, OpenTelemetry, and centralized logging. Administered JFrog Artifactory and Xray at scale and created self-service deployment workflows.
Architected and maintained highly available AWS and GCP infrastructure supporting business-critical applications. Designed reusable Terraform modules and self-service provisioning frameworks. Built and optimized CI/CD pipelines using Harness and GitHub Actions. Led AWS-to-GCP migrations with zero downtime. Managed Kubernetes workloads across GKE and containerized environments. Improved observability with OpenTelemetry, Prometheus, Grafana, and centralized logging. Implemented security best practices including RBAC, IAM governance, network segmentation, and secrets management.
Automated infrastructure provisioning and configuration management using Terraform, Ansible, and IaC best practices. Designed reusable Terraform modules for enterprise Linux servers, networking components, and cloud resources across development, testing, and production. Administered and maintained Red Hat Enterprise Linux environments with a focus on reliability, patch compliance, security hardening, and operational stability.
Led cloud modernization initiatives migrating 38 legacy on-premises applications to AWS. Designed reusable Terraform modules across 30+ AWS accounts and standardized provisioning through AWS Control Tower and centralized logging. Set up Jenkins CI/CD pipelines integrated with Git and Bitbucket for Java Maven builds and Kubernetes deployments. Managed containerized workloads on Kubernetes using Helm and native capabilities. Developed automation with Terraform, CloudFormation, Ansible, Python, and AWS Lambda. Built monitoring solutions using Prometheus, Grafana, Splunk, and CloudWatch. Created Golden AMI pipelines using Packer and implemented AWS security best practices.
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