I am a Software Engineering Specialist based in Bhubaneswar, specializing in AI-driven systems, LLM evaluations, and highly scalable distributed architectures. I am passionate about understanding model behavior, identifying edge cases, and building rigorous evaluation pipelines for state-of-the-art coding models.

• 🔭 I’m currently working on: Architecting multi-agent workflows (NexusAI) and building robust benchmarking suites for LLM code-generation capabilities.
• 🌱 I’m currently learning: Advanced techniques in model alignment, agentic orchestration (LangGraph), and high-performance vector retrieval.
• 👯 I’m looking to collaborate on: Open-source AI benchmarking tools, distributed data curation pipelines, and complex systems architecture.
• 🛠 Key Engineering Projects:
  • HumanEval Extended: A custom benchmarking suite built to systematically evaluate early code-completion LLMs and map out critical failure modes.
  • NexusAI: An agentic AI platform orchestrating autonomous LLM agents to solve complex coding tasks using LangGraph and Kubernetes.
  • Crawl4AI: A distributed web crawler utilizing Redis task queues to curate high-quality real-world datasets for LLM training and RAG ingestion.
  • Oriz: A production-grade platform routing dynamic user inputs across 10+ state-of-the-art LLM providers for behavioral analysis and cross-model benchmarking.
• ⚡ Interests: AI System Design, Edge Cases in Machine Learning, Open-Source Intelligence, and automating the un-automatable.

Visit my portfolio to see my detailed engineering work: https://chirag127.github.io/chirag127 Connect with me on LinkedIn: linkedin.com/in/chirag127

• AI & Data Engineering: LangChain, RAG Pipelines, Vector DBs (Milvus/Chroma), Hugging Face, PyTorch, LLM Benchmarking
• Languages: Python (Advanced), TypeScript, JavaScript, SQL
• Backend & Distributed Systems: FastAPI, Node.js, Kafka, Redis, Microservices
• Cloud & DevOps: AWS, Cloudflare Workers, Docker, Kubernetes, Terraform, CI/CD pipelines
• Tools: Cursor, Neovim/VS Code, Linux/Unix environments

This repository includes an optimized assets/ directory with:

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

📖 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