███╗ ██╗██╗███████╗ ██████╗██╗ ██╗ █████╗ ██╗
████╗ ██║██║██╔════╝██╔════╝██║ ██║██╔══██╗██║
██╔██╗ ██║██║███████╗██║ ███████║███████║██║
██║╚██╗██║██║╚════██║██║ ██╔══██║██╔══██║██║
██║ ╚████║██║███████║╚██████╗██║ ██║██║ ██║███████╗
╚═╝ ╚═══╝╚═╝╚══════╝ ╚═════╝╚═╝ ╚═╝╚═╝ ╚═╝╚══════╝
DevOps Engineer · Building pipelines, containers & cloud infra 🚀
name: Nischal Koirala
role: DevOps Intern @ TechHaus
location: Nepal 🇳🇵
focus:
- CI/CD Pipeline Automation
- Container Orchestration (Docker + Kubernetes)
- Cloud Infrastructure (AWS)
- Infrastructure as Code (Terraform + Ansible)
currently_learning:
- Helm package manager
- AWS DevOps Professional path
- Advanced Kubernetes patterns
motto: "Automate everything. Break nothing. Repeat."Recent, real-world builds shipped at TechHaus & in my homelab
|
Router & Switch Observability Built a full monitoring stack for TechHaus's network gear using Prometheus + Grafana, with Alertmanager routing critical alerts straight into Slack for real-time visibility.
|
Proxmox Host & Guest Observability Deployed a monitoring stack for the company's bare-metal Proxmox VE server hosting multiple VMs/LXCs — tracking RAM, disk (ROM), network I/O throughput, and per-VM/LXC memory usage.
|
|
Forked from Vercel Labs Turned a Vercel Labs simulator monorepo into a full, locally-running application — validating and bringing to life 5 service APIs (Google, Twilio, Resend, Stripe & Apple), each containerized with custom 📂 Repo:
|
Vibe-coded K8s Architecture Playground Built an app simulating deep Kubernetes architecture & workflows — Pi-hole for subdomain routing, a full GitOps flow with Helm charts, and ArgoCD for continuous deployment checks.
|
Also practiced: Cloud-Init templating on Proxmox VE — a one-shot YAML template approach and a reusable multi-VM template approach — plus foundational Python scripting.
Container orchestration at scale
- Built full K8s clusters with Deployments, ReplicaSets & namespaces
- Configured IAM roles & access policies for secure cloud resource management
- Used ArgoCD for GitOps-based visual deployment management
- Practiced scaling, rolling updates & troubleshooting lifecycles
Kubernetes ArgoCD YAML IAM GitOps
From commit to deployment — fully automated
- Built end-to-end pipelines with Jenkins & AWS CodePipeline
- Integrated AWS CodeBuild + CodeDeploy for automated build/deploy
- Git-triggered workflows with version-controlled pipeline configs
Jenkins AWS CodePipeline CodeBuild CodeDeploy CI/CD
GitHub Actions → S3 → CloudFront → Route 53
- GitHub Actions pipeline for automated React build & S3 deployment
- CloudFront CDN with Origin Access Control (OAC) for secure S3 access
- Custom domain via Route 53, resolved CloudFront 403 & routing issues
GitHub Actions AWS S3 CloudFront Route 53 React
Infrastructure as Code — provision, destroy, repeat
- Provisioned cloud resources with reusable Terraform templates
- Practiced IaC concepts for automated, reproducible environments
Terraform IaC AWS Cloud Provisioning
SSH → Ansible → Managed infrastructure
- Built multi-node Linux VM environment with passwordless SSH (Ed25519)
- Managed networking with Netplan, static IPs &
/etc/hostsresolution - Automated server config & service management using Ansible playbooks
Ansible Linux SSH Netplan Automation
┌─────────────────────────────────────────────────────────┐
│ DevOps Intern │
│ TechHaus 2026 – Present │
│ ────────────────────────────────────────────────── │
│ Working on real-world DevOps tooling, pipelines │
│ and cloud infrastructure in a production environment │
└─────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────┐
│ Python Developer │
│ Sisani Technology Jan–Nov 2024 │
│ ────────────────────────────────────────────────── │
│ Backend development, API integration, debugging │
│ and software workflow exposure │
└─────────────────────────────────────────────────────────┘
- 🎓 DevOps — Broadway Infosys (2026) 120-hour course: Linux · Docker · Kubernetes · Terraform · Jenkins · AWS · CI/CD
- Learning Helm package manager in depth
- AWS Certified DevOps Engineer preparation
- Deepening Kubernetes production patterns
- Building more real-world CI/CD pipelines at TechHaus