Profile of Narain Karthik

Narain Karthik

software

full-stack

developer

Coimbatore, India

About

AI-augmented Software Engineer focused on building scalable, high-performance applications and using Claude MCP to improve development, testing, and software delivery through reliable, production-ready user experiences.

Skills

Beginner-level (6)
  • Beginner Azure Beginner
  • Beginner Figma Beginner
  • Beginner GCP Beginner
  • Beginner Kubernetes Beginner
  • Beginner PostgreSQL Beginner
  • Beginner Typescript Beginner
Intermediate-level (20)
  • Intermediate Bootstrap Intermediate
  • Intermediate Claude Intermediate
  • Intermediate Confluence Intermediate
  • Intermediate CSS3 Intermediate
  • Intermediate Docker Intermediate
  • Intermediate Express Intermediate
  • Intermediate Git Intermediate
  • Intermediate GitHub Intermediate
  • Intermediate GitHub Actions Intermediate
  • Intermediate GitHub Copilot Intermediate
  • Intermediate HTML5 Intermediate
  • Intermediate JavaScript Intermediate
  • Intermediate Jira Intermediate
  • Intermediate Linux Intermediate
  • Intermediate MongoDB Intermediate
  • Intermediate MUI Intermediate
  • Intermediate Postman Intermediate
  • Intermediate React Intermediate
  • Intermediate Tailwind Intermediate
  • Intermediate Wordpress Intermediate

Languages

  • Tamil Native speaker
  • English Bilingual proficiency
  • Japanese Elementary proficiency
  • Kannada Elementary proficiency

Experience

  • -

    AI-augmented Software Engineer @ ConnIT Labs

    IN - Remote

    Summary:

    • AI-augmented Software Engineer focused on using Claude and Claude MCP throughout the product lifecycle, from Jira sprint planning and Figma design through development, testing, and deployment, while improving software delivery efficiency with AI-driven CI/CD pipelines on Azure and Google Cloud Platform.

    Responsibilities:

    • Used Claude MCP across Jira sprint planning, Figma handoff, development, testing, and deployment workflows
    • Built and maintained full-stack product features with AI-assisted development and testing practices
    • Developed AI-augmented CI/CD pipelines on Azure and Google Cloud Platform using GitHub Actions
    • Improved software delivery efficiency by streamlining repetitive development, release, and deployment workflows
    • Collaborated with product and engineering teams to deliver reliable releases across the full product lifecycle

    Achievements:

    • Integrated Claude MCP into the product lifecycle from Jira planning and Figma design through development code, testing, and deployment, improving end-to-end delivery efficiency by 20%
    • Built AI-augmented GitHub Actions pipelines on Azure and Google Cloud Platform to streamline releases and improve delivery reliability by 30%
    • Azure
    • Claude
    • Confluence
    • Docker
    • Express
    • GCP
    • Git
    • GitHub
    • GitHub Actions
    • HTML5
    • Jira
    • Kubernetes
    • PostgreSQL
    • Postman
    • React
    • Tailwind
    • Typescript
  • -

    Associate Software Developer @ Vegas Consulting

    AE - Remote

    Summary:

    • Entry-level Cloud and DevOps practitioner with hands-on experience in Azure, Google Cloud Platform, and GitHub Actions, focused on developing reliable applications, managing cloud resources, and improving software delivery through CI/CD automation.

    Responsibilities:

    • Developed scalable front-end applications using modern JavaScript frameworks, improving page load performance
    • Designed reusable and responsive UI components, reducing duplicate code and improving development efficiency
    • Optimized front-end performance, accessibility, and SEO, increasing Lighthouse scores
    • Integrated business logic with data-driven user interfaces, reducing UI-related defects
    • Collaborated with cross-functional teams to deliver production-ready features within defined timelines

    Achievements:

    • Implemented CI/CD pipelines with GitHub Actions to automate application builds and deployments, reducing release effort by 15%
    • Managed cloud application deployments on Google Cloud Platform and Microsoft Azure, improving environment stability by 5%
    • Applied Git repository governance using branch protections and rulesets, reducing production issues caused by improper merges by 20%
    • Improved deployment reliability and release consistency through DevOps automation, decreasing rollback incidents by 10%
    • Azure
    • Bootstrap
    • Confluence
    • Docker
    • Express
    • GCP
    • Git
    • GitHub
    • GitHub Actions
    • HTML5
    • Jira
    • JavaScript
    • Kubernetes
    • MUI
    • PostgreSQL
    • Postman
    • React
    • Tailwind
    • Typescript
    • Wordpress

Blogs

Projects

Education

Certifications