Passionate DevOps Engineer with 2+ years of experience designing, deploying, automating, and managing scalable cloud infrastructure. Skilled in AWS, Kubernetes, Docker, Terraform, Jenkins, Linux, Monitoring, and CI/CD pipelines — building reliable, production-grade systems.
A DevOps engineer driven by automation, reliability, and cloud-native excellence.
I am a DevOps Engineer with hands-on experience in cloud infrastructure, automation, deployment pipelines, containerization, and monitoring solutions. I have worked extensively on AWS services, Linux administration, CI/CD implementation, infrastructure provisioning, and production support.
My focus is on delivering scalable, secure, and reliable systems while following DevOps best practices. I'm passionate about bridging the gap between development and operations — reducing friction, increasing velocity, and improving system resilience.
Long-term, I'm actively expanding into MLOps and AI DevOps, combining my cloud foundation with the emerging world of machine learning infrastructure on AWS.
Tools, platforms, and technologies I work with in production environments.
Hands-on experience managing production AWS environments and cloud infrastructure at scale.
Real-world infrastructure and automation projects built for production environments.
Built reusable Terraform modules for provisioning scalable AWS infrastructure including VPC, EC2, Security Groups, IAM roles, Load Balancers, and Auto Scaling Groups.
Implemented automated deployment pipelines using Jenkins and GitHub Actions, reducing deployment effort and increasing release reliability across multiple environments.
Deployed 18+ microservices on EKS clusters with HPA, DaemonSets, rolling updates, and a full observability stack — Prometheus, Grafana, Loki, and Promtail.
Designed secure static website hosting architecture using S3, CloudFront, Route53, and SSL certificates — achieving high availability with minimal cost.
Migrated applications from traditional servers to AWS cloud while improving performance, security posture, and availability. Handled VAPT remediation post-migration.
Implemented centralized monitoring using CloudWatch, Grafana, and Prometheus for both infrastructure and application-level observability across production environments.
Public learning projects and hands-on DevOps labs on GitHub.
Validating hands-on expertise through industry-recognized credentials.
Measurable results delivered across production infrastructure and cloud environments.
Open to DevOps, cloud infrastructure, and AI DevOps opportunities.
Whether you have a project, a role to discuss, or just want to connect about DevOps and cloud engineering — I'm always open to a conversation.