About Me

II'm an AWS Cloud / DevOps Engineer with 4+ years of hands-on AWS experience and 8+ years in technical support and infrastructure-focused engineering roles. My background combines production cloud support, Infrastructure as Code, CI/CD automation, observability, Linux troubleshooting, and customer-facing technical problem solving.

My core focus is building reliable, repeatable, and secure cloud environments using AWS, Terraform, CloudFormation, AWS CDK, GitHub Actions, Jenkins, Docker, Kubernetes, CloudWatch, Prometheus, and Grafana. I enjoy taking manual or inconsistent infrastructure processes and turning them into automated workflows that are easier to deploy, monitor, troubleshoot, and scale.

My CI/CD philosophy is simple: deployments should be predictable, observable, and recoverable. I believe strong pipelines are not just about pushing code faster — they should reduce risk, improve feedback loops, enforce quality checks, and make rollback or recovery easier when something goes wrong.

For Infrastructure as Code, I focus on clean structure, repeatability, and long-term maintainability. I have worked with Terraform, CloudFormation, and AWS CDK to standardize deployments, reduce configuration drift, and improve disaster recovery readiness. I’m also continuing to build deeper skills around EKS, GitOps workflows, and Kubernetes-based cloud operations.

I’m especially interested in how AI can improve the software delivery lifecycle. I use AI tools to support documentation, troubleshooting, code review, command explanation, cloud architecture planning, and faster learning across AWS, Kubernetes, Terraform, and DevOps workflows. My goal is not to replace engineering fundamentals, but to use AI to improve speed, clarity, and decision-making.

I’ve supported 24×7×365 AWS production environments, collaborated with SRE and development teams, advised 20+ clients on AWS optimization and best practices, and contributed to security improvements through IAM audits, Security Group reviews, VPC Flow Logs, MFA enforcement, and audit logging.

Currently, I’m focused on growing as an AI-first AWS DevOps Engineer, with continued hands-on practice in Terraform, EKS, GitOps, MLOps, CI/CD, AWS, and Observability.