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AWS Certified — CLF-C02Oracle Certified — OCIAvailable for work

NAGAPRAJWAL.

NAGAPRAJWAL
BNG · IND

DevOps & Cloud Engineer

I design for failure so systems don't. I build multi-AZ auto-scaling AWS architectures with zero single points of failure, run Jenkins CI/CD pipelines in production, and orchestrate workloads with Kubernetes. Hands-on with Terraform-based IaC and Prometheus + Grafana observability end-to-end. AWS Certified.

See selected work ↘GitHub ↗
§ By the numbers

Receipts.

0

certifications & achievements

0+

open-source repos on GitHub

0+

cloud & DevOps tools

0

AWS services hands-on

  • CLF-C02 AWS Certified
  • OCI Oracle Certified
  • 3rd Web3SSH (IIIT Sri City)
  • Special Recognition SHE Secure (JNNCE)
  • 4th National Hackathon (CIT Gubbi)
§ 01 — Selected work

Infrastructure
built for
reliability
end to end.

Each project shipped end to end — architecture, provisioning, automation, and monitoring, built to stay up under load.

01

CloudGuard

Production-Grade Resilient AWS Infrastructure
SRE · Cloud/DevOps

A self-healing, multi-AZ AWS infrastructure built from a custom VPC — Auto Scaling, CloudWatch-driven alerting, and a fully version-controlled provisioning pipeline, designed for high availability with zero single points of failure.

  • Architected a multi-AZ Auto Scaling Group inside a custom VPC using Launch Templates & Golden AMIs, eliminating single points of failure across the EC2 fleet.
  • Designed CloudWatch alarm-driven scaling policies (CPU-based scale-in/out) wired to SNS notifications for real-time infrastructure health alerting.
  • Enforced least-privilege access using scoped IAM roles and policies, keeping provisioning and scaling actions tightly permissioned.
  • Authored a 10+ step IaC-style provisioning pipeline, version-controlled via Git — simulating production-grade operational runbooks and repeatable delivery.
  • Built for high availability: Auto Scaling Group spans multiple Availability Zones so instance or AZ failure doesn't take down the service.
  • Established proactive incident visibility — CloudWatch alarms fire before capacity issues become outages, not after.
  • AWS
  • EC2
  • VPC
  • IAM
  • Auto Scaling
  • CloudWatch
  • SNS
  • Git
cloudguard · infra-log

→ Provision Bootstrapping VPC + subnets.

11:02:03 [EC2] Golden AMI baked, launch template ready.

11:02:19 [ASG] Multi-AZ scaling group attached.

11:02:27 [CloudWatch] Alarm threshold set — CPU > 70%.

11:02:35 [SNS] Notifying on-call channel...▍

02

StockSight

Containerized Full-Stack Analytics Platform
Full-Stack · DevOps

A Flask + MySQL analytics platform fully containerized with Docker & Docker Compose — single-command deployment, environment parity, and microservices-style service boundaries baked in from day one.

  • Containerized a Flask + MySQL stack with Docker & Docker Compose, enabling single-command deployment and full environment parity across dev/prod.
  • Decoupled all sensitive configuration into .env files, enforcing secrets hygiene and aligning with enterprise compliance standards.
  • Designed a multi-container network with isolated service boundaries (app, db, cache), simulating microservices-style orchestration on a single host.
  • Persisted data via a named Docker volume, decoupling container lifecycle from database state to prevent data loss on rebuilds.
  • Structured the Compose file for zero-downtime local iteration — hot-reload on the app tier without tearing down the DB layer.
  • Built with horizontal scale-out in mind: stateless app containers ready to sit behind a load balancer in a Swarm/K8s migration path.
  • Docker
  • Docker Compose
  • Flask
  • MySQL
  • Python
  • .env / Secrets
  • Volumes
  • Networking
stocksight · compose-up

→ Compose Building services from docker-compose.yml.

14:10:02 [Flask] App container up on :5000.

14:10:05 [MySQL] DB container healthy, volume mounted.

14:10:08 [Secrets] .env loaded — no secrets in image.

14:10:11 [Network] Services linked, ready for traffic▍

03

ClusterOps

Production-Grade Kubernetes Orchestration on AWS EKS
SRE · DevOps · Cloud

A production-grade Kubernetes platform running on Amazon EKS — images sourced from ECR, autoscaling on real demand, and self-healing workloads with zero-downtime rollouts, managed entirely via AWS CLI and kubectl.

  • Provisioned and managed a Amazon EKS cluster, configuring aws-cli and kubectl context to control the cloud cluster directly from the terminal.
  • Pushed and versioned container images to Amazon ECR, with EKS pods pulling directly from the private registry via IAM-authenticated image pulls.
  • Modeled workloads as Kubernetes Deployments with defined replica counts, rolling update strategies, and resource requests/limits for predictable scheduling.
  • Exposed services via an AWS Load Balancer Controller, giving each service a real internet-facing endpoint with proper health checks.
  • Configured readiness & liveness probes so unhealthy pods are automatically restarted and never receive live traffic.
  • Enabled Horizontal Pod Autoscaling (HPA) based on CPU utilization, allowing the cluster to scale replicas up/down with real demand.
  • Managed cluster access and permissions using AWS IAM roles for service accounts (IRSA), keeping pod-level AWS access least-privilege.
  • AWS EKS
  • Amazon ECR
  • Kubernetes
  • AWS CLI
  • kubectl
  • IAM
  • ALB Ingress
  • HPA
clusterops · aws-cli + kubectl

→ Auth aws eks update-kubeconfig --name clusterops-prod

16:45:01 [Pull] Pulling image from Amazon ECR.

16:45:04 [Pods] kubectl get pods → 3/3 Running.

16:45:07 [Ingress] ALB endpoint provisioned.

16:45:10 [HPA] kubectl scale → 5 replicas...▍

§ 02 — Capabilities

From Provisioning
to production.

Comfortable across the whole stack — infrastructure-as-code and container orchestration all the way up to CI/CD, monitoring, and incident response.

A1 Cloud PlatformsAWS · EC2 · VPC · IAM · S3 · CloudWatch · Auto Scaling · SNS
A2 Containers & OrchestrationDocker · Kubernetes · Minikube · Docker Compose
A3 CI/CDJenkins · GitHub Actions · version-controlled release pipelines
A4 IaC & Config MgmtIaC-style provisioning workflows · Ansible
A5 Monitoring & ObservabilityPrometheus · Grafana · CloudWatch · Netdata
A6 Networking & SecurityVPC design · security groups · IAM least-privilege · access control
A7 Scripting & AutomationPython · Bash shell scripting · automation workflows
A8 DatabasesMySQL · schema design · query basics
A9 Version ControlGit · GitHub · branching · CI integration
A10 Operating SystemsLinux administration · systemd · process management
§ 03 — Open source

23 public
repos. 7
languages.

Tools, libraries, and systems built to solve real problems. Every repo has a working build and a clean README.

View all on GitHub ↗

CI/CD & Pipelines

GitHub Actions + Docker PipelineAutomated build-test-deploy pipeline with containerized artifactsJenkins CI/CD PipelineEnd-to-end pipeline for build, test, and deployment automationMaven CI PipelineAutomated build-and-deploy workflow for Java Maven projectsJenkins Build AutomationConfigured Jenkins job for automated Maven compilation and testing

Infrastructure as Code

Terraform Container ProvisioningIaC workflow provisioning containerized infrastructure with TerraformCloudGuardMulti-AZ Auto Scaling Group in a custom VPC — zero single points of failureSelf-Healing InfrastructureAWS infrastructure designed to detect failure and recover automatically

Kubernetes & Containers

KubeLocalContainer orchestration with declarative manifests on a local clusterBoutique PlatformMicroservices platform on AWS EKS with Jenkins CI/CD & Prometheus/Grafana monitoring

Monitoring & Version Control

Netdata Monitoring SetupReal-time system resource monitoring and alertingAudit GuardianAutomated auditing and compliance-check toolingGit Workflow PracticeBranching, merging, and collaboration workflows in GitGitHub Pages DeploymentAutomated static site delivery pipeline

Cloud & AWS

ATS Resume CheckerResume ATS-compatibility checker deployed on AWSClawdBotDiscord bot integration hosted on AWS infrastructureReverse Proxy & DNS SetupApache reverse proxy with SSL, nameserver, and domain configuration

Full-Stack Projects

ForkFolioDjango recipe platform with AWS Cognito auth and DynamoDBStockSightContainerized Flask + MySQL analytics platform via Docker ComposeHerb Traceability PortalBlockchain-based supply-chain traceability system

AI & Hackathon Projects

SHE Secure PrototypeSecurity-focused prototype — Special Recognition, SHE Secure Hackathon 2025Boult AI ChallengeAI-driven solution built for a competitive hackathonAI HelperAI-assisted utility for automating repetitive tasksASCendantHackathon-built systems projectTextLenzText analysis and processing tool
§ 04 — About

An engineer
who keeps the
lights on.

Nagaprajwal B
NAGAPRAJWAL B — DevOps & Cloud Engineer

I like owning infrastructure from the ground up — multi-AZ AWS fleets that self-heal under load, CI/CD pipelines that ship without babysitting, and the monitoring stack that tells me the moment something's wrong before a user does.

Beyond my flagship projects, I've worked across two DevOps internships — automating build-to-deploy pipelines with Jenkins, managing AWS infrastructure end-to-end, and orchestrating containers on Kubernetes. I move fast without skipping the boring-but-important parts — access control, alerting, version control, and repeatable provisioning.

“I'm just as happy writing a CloudWatch alarm as I am debugging a Jenkins pipeline at 2am.”

I'm AWS Certified (Cloud Practitioner) and Oracle Certified (Cloud Infrastructure), and I'm open to DevOps, SRE, and cloud infrastructure roles — remote or on-site.

§ 05 — Contact

LET'S
BUILD
SOMETHING.

Open to DevOps, SRE, and cloud infrastructure roles - remote or on-site. The fastest way to reach me is email; I typically respond within a day.

Phone+91 96204 05229↗Emailnagaprajwalbhyr@gmail.com↗LinkedInnagaprajwalb↗GitHubNagaprajwalB↗ResumeCurriculum Vitae (PDF)↓
Let's talk