Harsha's space

EXPERIENCE

May 2026 – Present · Hyderabad, India

Analyzed cloud resource usage and applied infrastructure optimization measures that reduced overall cloud costs by 55%.
Implemented CI/CD pipelines for application delivery, automating the path from code changes to deployment and reducing deployment time by 80–90%.
Automated instance start and shutdown schedules with a scheduler, aligning non-production runtime with operational needs and generating an additional 20% reduction in cloud costs.
Improved day-to-day cloud operations by replacing manual instance scheduling with a repeatable automation workflow focused on cost efficiency and availability.

CI/CDAWSCloud Cost OptimizationAutomation

Feb 2026 – Apr 2026 · Hyderabad, India

Designed and implemented CI/CD pipelines with Gitea Actions for private repositories, automating build, test, and deployment workflows.
Optimized deployment pipelines from 2–5 minutes to 20–60 seconds, improving delivery efficiency by approximately 70–85%.
Partnered with developers to troubleshoot deployment issues and streamline release processes; resolved production incidents across application and cloud infrastructure environments.
Deployed and managed scalable AWS infrastructure for crackersworld.online using Auto Scaling Groups, Application Load Balancers, and a multi-Availability Zone architecture.

Gitea ActionsAWSAuto ScalingALBMulti-AZ

Designed and deployed a distributed AI inference platform on AWS with Terraform and a secure three-node architecture for API, caller, and inference workers.
Provisioned private VPC networking and a NAT Gateway to isolate worker nodes while maintaining required outbound connectivity.
Automated reproducible infrastructure and service deployment using Terraform, Bash scripting, and systemd.
Implemented private RPC communication, exposing only the public inference API and keeping internal services in private subnets.
Designed for future production scale with GPU inference, model sharding, load balancing, Auto Scaling, Secrets Manager, CloudWatch, and Kubernetes orchestration.

AWS Terraform Systemd Distributed RPC VPC CloudWatch Kubernetes

Deployed a multi-microservices cloud application on AWS EKS.
Containerized services with Docker and provisioned infrastructure through Terraform IaC.
Used S3 for object storage and VPC networking to support secure cloud communication.
Implemented Prometheus and Grafana monitoring and alerting for availability and observability.

EKS Docker Terraform S3 VPC Prometheus Grafana

Built a full-stack real-time chat application with React, Spring Boot, and WebSocket technology.
Containerized the application with Docker to create consistent deployment environments.
Automated delivery through a Jenkins CI/CD pipeline.
Used Jenkins Shared Libraries to keep pipeline logic reusable, clean, and scalable.

React Spring Boot WebSocket Docker Jenkins

Built a DevOps-focused two-tier library management application from scratch.
Automated CI/CD workflows with Jenkins and deployed the application on EC2.
Containerized services with Docker and orchestrated them with a lightweight k3s Kubernetes cluster.
Managed updates and rollbacks through GitOps workflows using Argo CD.

Jenkins EC2 Docker k3s Argocd

Built GitHub Actions workflows that automate testing and deployment.
Integrated Minikube to simulate a local Kubernetes environment.
Automated Docker image builds along with unit and integration test execution.
Deployed to simulated Kubernetes while reducing cloud costs and mirroring production workflows.

GitHub Actions Minikube Docker Kubernetes Helm

Built a GitHub Actions CI/CD pipeline to automate the portfolio build, test, and deployment process.
Hosted the static website on AWS S3 with global delivery through CloudFront CDN.
Configured DNS management through Route 53.
Used Docker to provide a consistent build environment.

GitHub GitHub Actions S3 CloudFront Route53 Docker