Building reliable
AWS & Kubernetes platforms.

I work with teams to replace manual deploys with fully automated pipelines using tools like Jenkins and GitHub Actions. We define pipeline stages for build, test, security checks, and deployment, so every release is traceable and repeatable.

I also focus on versioning, artifact governance, and rollback strategies so it's always clear what is running in each environment and how to roll back quickly if needed.

From VPCs and networking to EC2, EKS, and managed services, I help design architectures that match your product's needs without overcomplicating the stack.

Using Terraform, environments are codified and version-controlled, making changes reviewable, auditable, and easy to replicate across staging and production.

At Dhwani, I helped reduce AWS staging costs by ~46% by auditing unused resources, applying instance scheduling, and picking more appropriate instance families and storage options.

I bring this mindset to new environments as well: measure first, then optimize with data, making cost a feature of the platform rather than a surprise at the end of the month.

I've rolled out Prometheus and Grafana for services, defining SLIs like latency, error rates, and resource saturation. Alerts are based on error budgets instead of raw thresholds, so teams get notified about what actually matters.

Logs and metrics are structured to make it easy to correlate deploys, incidents, and performance regressions across environments.

I've migrated workloads from EC2 to Kubernetes using Helm and GitOps tooling like ArgoCD, enabling automated deployments across multiple environments with consistency.

Readiness and liveness probes, resource requests/limits, and progressive rollouts help keep apps healthy while you iterate quickly.