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MYounus-Codes/README.md

Muhammad Younus

Python Developer | Agentic AI Engineer | GenAI Developer

Building intelligent systems and scalable backend solutions with modern AI frameworks and Python.


About

I specialize in developing production-ready AI systems and backend infrastructure. My work focuses on creating practical solutions that leverage large language models, autonomous agents, and robust APIs to solve real business problems.

Current Focus:

  • Architecting multi-agent AI systems using OpenAI Agents SDK and LangChain
  • Implementing Model Context Protocol (MCP) for enhanced agent communication
  • Building high-performance APIs with FastAPI for AI-powered applications
  • Developing RAG systems and knowledge-driven applications

Technical Expertise

AI & Agentic-AI

  • OpenAI Agents SDK, LangChain, LangGraph
  • Model Context Protocol (MCP)
  • RAG (Retrieval-Augmented Generation) systems
  • Prompt engineering and LLM optimization

Backend Development

  • FastAPI for RESTful APIs and microservices
  • Python 3.10+ with type hints and modern patterns
  • Async/await programming for concurrent operations
  • Database design and ORM integration

Tools & Frameworks

  • Streamlit & Chainlit for rapid prototyping and demos
  • Pandas for data processing and analysis
  • Vector databases (Pinecone, ChromaDB)
  • Docker for containerization

What I Can Help You Build

Intelligent Automation Systems

Transform repetitive business processes into autonomous AI workflows. From customer support automation to document processing pipelines, I build systems that operate 24/7 with minimal human intervention.

Custom AI Applications

Develop tailored AI solutions that integrate seamlessly with your existing infrastructure. Whether you need a RAG-powered knowledge base, conversational AI interface, or intelligent data analysis tool, I deliver production-ready applications.

Scalable API Infrastructure

Design and implement high-performance backend systems that power modern applications. FastAPI-based architectures optimized for handling concurrent requests, real-time data processing, and seamless third-party integrations.

Multi-Agent AI Systems

Create sophisticated agent orchestration platforms where multiple AI agents collaborate to solve complex problems. Ideal for research tasks, content generation workflows, and decision-making systems that require diverse expertise.


Open Source Contributions

I actively contribute to the AI and Python ecosystem. Check out my repositories for tools, examples, and documentation that help developers build better AI applications.


Let's Connect

I'm always interested in discussing AI systems, backend architecture, and potential collaborations.


📍 Based in Karachi, Pakistan | Open to remote opportunities worldwide

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  1. real-time-email-RAG-Assistant real-time-email-RAG-Assistant Public

    Python 1

  2. voice-ai-agent voice-ai-agent Public

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  3. openai-agents-with-github-mcp openai-agents-with-github-mcp Public

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  4. full-stack-python-rag-project full-stack-python-rag-project Public

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  5. langchain langchain Public

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  6. langchain-projects langchain-projects Public

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