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Report abuseMethodology: SDD-RI β AI Native Book
CS student from Pakistan building AI agents that work in production β not just in demos.
Open to collaborations and conversations around AI β feel free to reach out.
Building governed, reliable, and measurable AI agents β not demos.
I follow SDD-RI as my development philosophy. I start with a specification β defining agent behavior, tool contracts, and system boundaries before writing a single line of code.
| Principle | What it means |
|---|---|
| π Spec-First | Define behavior before building |
| π Reusable Intelligence | Agents and prompts designed to be composable |
| β Governed & Measurable | Every agent has clear success criteria |
| π 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.
π¬ Let's build something amazing together!
Final-project-Langchain -->"Transform any URL into readable text with ease! My URL-to-text converter RAG application intelligently extracts and converts web content into concise, searchable informaβ¦
Jupyter Notebook 6
Loaders, Splitters, and Related Concepts in Data Processing Loaders are components or tools used in data processing pipelines to load data from various sources, such as databases, APIs, files, or oβ¦
An interactive AI chatbot powered by Chainlit and Gemini-1.5, featuring secure login (OAuth + password), predefined prompts, and a clean UI with online icons β perfect for dynamic conversational exβ¦
The Browser Use Controller project is a Python-based tool designed to automate browser tasks using AI technologies. It leverages LangChain and Google's Gemini Flash model to perform actions like seβ¦
Python 5
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