Methodology: SDD-RI — AI Native Book
CS student from Pakistan building AI agents that work in production — not just in demos.
- I design autonomous AI agents that reason, plan, and act across tools, browsers, and APIs
- I follow SDD-RI — defining the specification first, then the implementation. Structured and intentional by design
- I ship with Claude Code, Gemini CLI, and A2A Protocol for complete end-to-end agentic workflows
- I build with MCP Servers for tool-integrated, protocol-compliant agent architectures
- I leverage Playwright for agents that interact with the live web autonomously
- Continuously learning and delivering — every project is production-grade, not a tutorial exercise
Open to collaborations and conversations around AI — feel free to reach out.
Building governed, reliable, and measurable AI agents — not demos.
I follow SDD-RI as my development philosophy. I start with a specification — defining agent behavior, tool contracts, and system boundaries before writing a single line of code.
| Principle | What it means |
|---|---|
| 📋 Spec-First | Define behavior before building |
| 🔁 Reusable Intelligence | Agents and prompts designed to be composable |
| ✅ Governed & Measurable | Every agent has clear success criteria |
| 🚀 Shipped, not demoed | Production-grade from day one |
Tech Stack: AI Automation Python FastAPI
A cutting-edge AI-powered application showcasing agentic AI capabilities and automation workflows.
💬 Let's build something amazing together!