KATHMANDU 00:00

DevOps / Cloud / Automation

I architect seamless, scalable infrastructure that enables rapid growth.

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ABOUT

Over the years, I have engineered highly reliable, automated infrastructure with a strong focus on scalability and cost efficiency.

DevOps Engineer Say hello: [email protected] Explore LinkedIn

I am a highly experienced DevOps Engineer with a specialty in Infrastructure as Code (IaC) and cloud architecture (AWS). My passion lies in creating resilient CI/CD pipelines and automating operational workflows to accelerate development cycles.

I have hands-on experience working on high-traffic, customer-facing applications and prioritize building lean, maintainable infrastructure that enables zero-downtime deployment and robust security posture.

I like working on open-source tools that help ensure smooth operations for daily in-house activities and improve efficiency across teams and internal workflows.

Location
Kathmandu
» Pipeline in Motion

Pipeline in Motion

Commit
Build
Review
Deploy

Zero-touch deploys to prod.

Current Favorite
The Lazy Song

The Lazy Song

Bruno Mars

⌨️ Project Delivered
50
50+ Projects
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Impact by the Numbers
6+ Years Experience
99% Uptime Achieved
75% Faster Deployments
40% Cost Reduction
95% Fewer Incidents
2x Team Productivity
🛠 Tech stack
Docker Kubernetes Terraform Ansible AWS Jenkins Docker Kubernetes Terraform Ansible AWS Jenkins

Tech stacks I'm familiar with

Focused on the DevOps ecosystem, building scalable and automated infrastructures.

PROJECTS

I. CI/CD Pipeline Efficiency

Reducing Deployment Time by 80% with ArgoCD & GitOps.

Detailed analysis of how GitOps principles were implemented across multiple environments, reducing the median time-to-deployment from 45 minutes to under 8 minutes.

Kubernetes ArgoCD Terraform Gitlab
II. Cloud Cost Optimization

Achieving 45% Monthly Cost Reduction on AWS.

Focusing on rightsizing EC2 instances, implementing auto-scaling policies, and migrating services to Serverless (Lambda).

AWS CloudFormation Python Lambda
III. Observability Implementation

Building End-to-End Monitoring with Prometheus & Grafana.

Established centralized logging and alerting mechanisms, leading to a 75% decrease in P1 incidents.

Prometheus Grafana ELK Stack Ansible
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CAPABILITIES

Development & Technical

  • Cloud Architecture (AWS/Azure)
  • Container Orchestration (Kubernetes)
  • Infrastructure as Code (Terraform, Ansible)
  • CI/CD Pipeline Design & Automation
  • Performance Optimization & Security
  • Monitoring & Observability (Prometheus, Grafana)
  • Scripting & Automation (Python, Bash)
  • Networking & DNS Management
  • DevOps & Cloud Infrastructure

Process & Strategy

  • Digital Strategy & Transformation
  • SRE Principles Implementation
  • System Design & Prototyping
  • Incident Management & User Flows
  • Information Architecture (Cloud)
  • Cost Optimization Strategies
  • Documentation & Knowledge Transfer
  • Design Partnership & Collaboration
Let's Connect Send me an email