What I've built
A selection of infrastructure, automation, and cloud engineering projects.
A custom Kubernetes operator built in Go that automates the lifecycle management of stateful applications, handling deployments, scaling, and self-healing.
// Custom Kubernetes Operator
func Reconcile(ctx context.Context,
req ctrl.Request) (ctrl.Result, error) {
instance := &AppDeployment{}
if err := r.Get(ctx, req.NamespacedName,
instance); err != nil {
return ctrl.Result{}, err
}
r.ensureDeployment(ctx, instance)
} End-to-end GitHub Actions pipeline with multi-stage builds, automated testing, Docker image publishing, and GitOps-based deployment via FluxCD and Helm charts.
stages: [build, test, deploy]
build-image:
stage: build
image: docker:24
script:
- docker build -t $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA .
- docker push $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA
only: [main, develop] Production-grade AWS infrastructure with Terraform: EKS cluster, VPC with multi-AZ subnets, RDS PostgreSQL, ALB ingress, and full IAM roles management.
module "eks" {
source = "terraform-aws-modules/eks/aws"
cluster_name = "prod-cluster"
cluster_version = "1.29"
vpc_id = module.vpc.vpc_id
node_groups = {
workers = { desired_size = 3,
instance_types = ["t3.medium"] }
}
} Set up of a professional-grade infrastructure on an on-premise Kubernetes cluster. The infrastructure supports a full Dev → Test → Production Pipeline, including automation, scalability, monitoring and documentation.
module "eks" {
source = "terraform-aws-modules/eks/aws"
cluster_name = "prod-cluster"
cluster_version = "1.29"
vpc_id = module.vpc.vpc_id
node_groups = {
workers = { desired_size = 3,
instance_types = ["t3.medium"] }
}
}