// aspiring devops & cloud engineer

Building reliable cloud deployments and automated pipelines.

Transitioning from an IT infrastructure and network engineering internship into DevOps, backed by self-driven hands-on practice across AWS, containers, CI/CD, and infrastructure automation. Primary hands-on focus in AWS, with foundational working exposure to Microsoft Azure and Google Cloud Platform.

demo@sandbox-lab:~$
Simulated Lab
$ terraform plan
AWS Core Services: Hands-on Lab
Kubernetes & ArgoCD: Practiced
Terraform IaC: Practiced
Prometheus & Grafana: Configured

About

Systems & Automation Foundation

B.Tech Computer Science graduate transitioning from an IT infrastructure and network engineering internship into DevOps. I combine a grounded Linux, networking, and systems-support foundation with practical experience building automated deployment pipelines, provisioning cloud infrastructure as code, and monitoring environments.

📍 Nagpur, Maharashtra, India

Core Engineering Focus

  • ▪ Infrastructure as Code: Provision repeatable resources on AWS using modular Terraform and remote state.
  • ▪ Continuous Delivery: Automate build and deploy workflows via Jenkins and GitHub Actions pipelines.
  • ▪ Observable Systems: Track infrastructure metrics and alerts using Prometheus, Grafana, and CloudWatch.

Skills

Technical Toolkit

Hands-on technologies and tools applied throughout self-learning labs and professional internships.

Cloud Platforms

PRIMARY: AWS · EXPOSURE: AZURE & GCP
  • AWS (Primary Hands-on): EC2, S3, EBS, IAM, VPC, ELB, ASG, Route 53, CloudWatch, CloudTrail, RDS, Lambda, EFS, KMS, WAF
  • Microsoft Azure (Working Exposure): VMs, Load Balancer, Scaling, Storage, ARM Templates, Entra ID, Azure DevOps
  • Google Cloud (Working Exposure): Compute Engine, Cloud Storage, Instance Templates

Containers & Orchestration

DOCKER · K8S · GITOPS
  • Docker (Images, Compose, Networking, Volumes, Portainer)
  • Kubernetes (Pods, Deployments, Services, ConfigMaps/Secrets, RBAC, HPA, Namespaces, Helm, Kustomize, Kops, Kubeadm, EKS, CRDs, Network Policies)
  • ArgoCD

CI/CD & Version Control

JENKINS · ACTIONS · GIT
  • Jenkins (Declarative & Scripted Groovy Pipelines, Master-Slave, Webhooks, Cron/PollSCM)
  • GitHub Actions
  • GitLab
  • Git & GitHub
  • Maven
  • Nexus / Artifactory

Infrastructure as Code

TERRAFORM · ANSIBLE
  • Terraform (Modules, Workspaces, State Management, Terraform Cloud/HCP, Sentinel Policy)
  • Ansible (Playbooks, Roles, Vault, Ad-hoc Commands)

Monitoring & Logging

PROMETHEUS · GRAFANA
  • Prometheus
  • Grafana
  • AWS CloudWatch
  • Dynatrace
  • Loki & Promtail

Programming & Systems

LANGUAGES · OS · NETWORKING
  • Python
  • Groovy (Jenkins Pipeline DSL)
  • Bash / Shell Scripting
  • Linux (Red Hat, Ubuntu)
  • Windows Server
  • DNS, DHCP, TCP/IP
  • VPC Networking
  • SonarQube, Trivy, OWASP (Explored)

AI & Automation

Where AI Fits Into My Workflow

Applying modern AI tooling practically to accelerate deployment workflows and automate toil.

Vishwaas AI — Fake News Verification Tool

An AI-powered verification utility built with Python to analyze forwarded text messages and screenshots, with logic structured to process regional language inputs across Indian dialects.

PythonAI VerificationMultilingual Logic

AI in Day-to-Day DevOps Practice

I use generative AI tooling as a force multiplier for scripting and operations: drafting initial Terraform resource definitions, constructing Bash automation boilerplate, synthesizing regex filters for logs, and reasoning through error traces—verifying and testing every artifact manually.

Projects

Personal Projects

Vishwaas AI — Fake News Detector

PYTHON · AI VERIFICATION · MULTILINGUAL

  • Built an AI-powered verification tool using Python to analyze forwarded text messages and screenshots.
  • Implemented logic to process user inputs across multiple Indian languages to help users assess the authenticity of regional claims.

Cloud DevOps Practice Academy

INTERACTIVE PLATFORM · INTERVIEW PREPARATION

  • Developed an interactive, quiz-based platform to help entry-level engineers practice core DevOps concepts for technical interviews.
  • Designed straightforward modular assessments for foundational topics.

Practice Projects

Self-Learning Labs

Self-driven, hands-on implementations built to simulate real cloud and pipeline architectures.

Journey

Experience & Education

Connect

Get in touch.

Always happy to connect regarding cloud automation, Linux administration, and DevOps opportunities.

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