MANIKANT

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CLOUD & DEVOPS ENGINEER

Infrastructure that scales.Deployments that just work.

I design and automate cloud infrastructure end to end — from first commit to production — with CI/CD pipelines, infrastructure as code, and monitoring that catches problems before your users do.

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Skills: AWS, Cloud Infrastructure, Kubernetes, Docker, Terraform, CI/CD, GitHub Actions, Infrastructure as Code, Linux, Helm, Monitoring, Prometheus, Grafana, CloudWatch, Networking, Automation, Bash, Python, Git

01 About

Cloud is where I build.
Automation is how I ship it.

5+
Cloud & DevOps Projects
LEAD
Technical Lead — AWS Student Builders Group, Malla Reddy University
100+
Community members
10+
Core Cloud & DevOps Technologies

B.Tech Computer Science · Malla Reddy University · 2023–2027 · Cloud Engineering · DevOps · AWS

02 Skills

Core capabilities I use every day.

A practical stack focused on cloud platforms, automation, observability, and reliable delivery.

Cloud Platforms

AWS

CI/CD

GitHub ActionsJenkins

Infrastructure as Code

TerraformAnsible

Containers & Orchestration

DockerKubernetesHelm

Monitoring & Observability

PrometheusGrafanaAWS CloudWatch

Programming & Scripting

PythonBash

Version Control

GitGitHub

03 Toolkit

My Tech Stack.

The tools I use to build, deploy, and run cloud infrastructure — reliably, end to end.

24 tools · 4 disciplines

  • AWS
  • EC2
  • S3
  • EKS
  • IAM
  • VPC
  • Docker
  • Kubernetes
  • Helm
  • ECR
  • ECS
  • Nginx
  • Terraform
  • Ansible
  • GitHub Actions
  • Git
  • Bash
  • Python
  • Prometheus
  • Grafana
  • CloudWatch
  • Alertmanager
  • Metrics Server
  • Logging

04 Featured Work

Selected projects,
automated to ship.

Cloud infrastructure, automation, CI/CD and systems reliability — each project a different capability, all one practice.

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05 Experience

Where I built my judgment.

Oct 2026 – PresentLaventra Technologies LLPInternship

SRE / DevOps Intern

Hyderabad, India

What I worked on

Supporting deployment and reliability of RenderReply, an Instagram automation SaaS on AWS Elastic Beanstalk, with GitHub Actions CI/CD and CloudWatch monitoring.

  • Supported deployment and reliability of an AWS Elastic Beanstalk application for RenderReply
  • Worked with GitHub Actions CI/CD to streamline release and environment automation
  • Monitored application health and operational signals using Amazon CloudWatch

Impact

Automated deployments across all environments through GitHub Actions CI/CD

Tools & skills

AWS Elastic BeanstalkGitHub ActionsAmazon CloudWatchCI/CDAmazon Web Services (AWS)
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05 Let’s Connect

Let's build what's next.

I'm open to cloud and DevOps roles, collaborations and good conversations — if you're scaling something that needs to run reliably, I'd like to hear about it.