I am a Software Engineer at TCS based in Bhubaneswar, currently focused on bridging the gap between enterprise software and AI-driven automation.

• 🔭 I’m currently working on: SAP CPQ implementations using IronPython and Knockout.js.
• 🌱 I’m currently learning: Advanced Data Science & AI concepts for GATE 2026 (DA Paper).
• 👯 I’m looking to collaborate on: Java/Python backend development and AI automation projects.
• 🛠 Side Projects:
  • Building a network of 450+ static utility websites hosted on Cloudflare Pages.
  • Creating educational content for GATE aspirants (Data Science & AI).
  • Developing "Joules API" for GitHub automation and visibility.
• ⚡ Interests: Personal Finance (Value Investing), Automation/Scripting, and AI-assisted coding (Cursor/Perplexity).

Visit my portfolio website: https://chirag127.github.io/chirag127

• Languages: Python, Java, JavaScript (Knockout.js), IronPython
• Domains: Machine Learning, Web Development, Automation
• Tools: VS Code, Cursor, OBS Studio (for content creation)

This repository includes an optimized assets/ directory with:

• Favicon (SVG & ICO formats)
• Profile photo placeholder (ready to replace with your photo)
• Project screenshots (3 placeholder images)
• Social media icons (GitHub, LinkedIn, Email, Web)

All images are optimized for web performance using SVG format for fast loading and scalability.

📖 See assets/README.md for details on usage and optimization.

This repository is configured for automatic deployment to GitHub Pages.

The site deploys automatically when you push to the main branch via GitHub Actions.

1. Enable GitHub Pages:

   • Go to your repository settings: https://github.com/chirag127/chirag127/settings/pages
   • Under "Build and deployment":
     • Source: Select "GitHub Actions"
   • Save changes

2. Verify Deployment:

   • Go to the "Actions" tab in your repository
   • Check that the "Deploy to GitHub Pages" workflow runs successfully
   • Your site will be available at: https://chirag127.github.io/chirag127

To preview the site locally:

# Option 1: Using Python
python -m http.server 8000

# Option 2: Using Node.js (if you have npx)
npx serve

# Option 3: Using PHP
php -S localhost:8000