CLOUD & DEVOPS ENGINEER

KARRI SAI
VARDHAN

Building scalable, self-healing cloud infrastructure with automation, containers, and intelligent CI/CD pipelines.

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About Me

B.Tech student (2027) specializing in AI & Machine Learning with strong hands-on experience in cloud-native infrastructure and DevOps automation. Built production-like systems on AWS using Kubernetes, CI/CD pipelines, and observability tools.

Passionate about scalable systems, automation, and reliability engineering. Focused on reducing toil, increasing uptime, and building infrastructure that heals itself.

~90% Reduction

in manual intervention using automation

Self-Healing Systems

& chaos engineering expertise

Cloud-Native

DevOps practices & infrastructure

Skills & Tools

DevOps & CI/CD

JenkinsDockerKubernetesAnsibleGit/GitHub

Cloud (AWS)

EC2S3EKSRDSIAMVPCLambdaCloudWatch

IaC & Scripting

TerraformBash

Monitoring

PrometheusGrafanaAWS CloudWatch

Programming

PythonJavaC

Other

Chaos EngineeringChaos MeshLinux

Projects

FLAGSHIP PROJECT

PulseOps – Self-Healing DevOps Platform

JenkinsDockerKubernetesPrometheusGrafanaChaos MeshAWS Lambda
  • Built a self-healing system simulating pod failures using Chaos Mesh
  • Automated detection using Prometheus + CloudWatch
  • Triggered AWS Lambda-based remediation workflows
  • Achieved ~99.9% uptime through automated recovery
  • Built CI/CD pipelines using Jenkins for Kubernetes deployments
  • Integrated Grafana dashboards for real-time observability

2048 Game Deployment on AWS EKS (Fargate)

AWS EKSKubernetesFargateHelmIAMALBkubectleksctl
  • Deployed containerized game on AWS EKS using Fargate
  • Configured ALB Ingress for external access
  • Managed secure IAM roles and cluster configuration
  • Achieved serverless Kubernetes deployment architecture

End-to-End CI/CD Pipeline

JenkinsDockerAnsibleAWS EC2
  • Built full CI/CD pipeline for automated build, test, deploy
  • Containerized application using Docker
  • Automated provisioning using Ansible
  • Reduced manual deployment effort significantly

Experience & Education

Experience

DevOps Intern – APSSDC

May – June 2025

  • Built CI/CD pipelines using Jenkins + Docker on AWS EC2
  • Containerized applications for consistent deployment
  • Managed EC2 infrastructure (security groups, networking, lifecycle)

Education

B.Tech – AI & Machine Learning

Aditya College of Engineering and Technology

2023 – 2027

GPA: 8.80 / 10

Certifications

  • Python – Infosys Springboard
  • Docker Foundations Professional Certificate – LinkedIn Learning
  • Industry 4.0 & IIoT – NPTEL (IIT)

Get In Touch

I'm always open to discussing DevOps, cloud architecture, or collaboration opportunities. Feel free to reach out!

svardhankarri@gmail.com
6303586653
linkedin.com/in/sai-vardhan-karri
github.com/saivardhan-infra