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NasirSultan/README.md

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I build AI-powered Full Stack applications using Generative AI, Agentic AI, and fine-tuning.

Experienced in RAG, MCP, LLM integrations, vector databases, and scalable backend services.

I also develop AI Voice Agents, AI Calling Agents, and WhatsApp AI Agents using Vapi, Twilio, and LiveKit.

My backend experience includes FastAPI, Node.js, Express.js, and NestJS, along with PostgreSQL and MongoDB.

I deploy production-ready applications on Render, AWS, and DigitalOcean using Docker and cloud best practices.

🛠️ Tech Stack



Generative AI Agentic AI RAG LLM Vapi Twilio

All public repositories here are personal projects and learning resources.
They are not related to any work or projects of my current or previous employers, in accordance with company policies.

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  1. WhatsApp-AI-Chatbot-agent-Nodejs WhatsApp-AI-Chatbot-agent-Nodejs Public

    WhatsApp AI chatbot agent powered by Google Gemini and Baileys. Auto-responds to messages with a customizable AI personality, QR login, and auto-reconnect. Node.js.

    JavaScript 3

  2. LangChain-Tutorial-JS LangChain-Tutorial-JS Public

    A hands-on LangChain JS tutorial with Gemini, split into 5 focused branches: prompt templates, LLM invocation, Gemini Flash, conversation memory, and chatting with PDFs.

    2

  3. qwen-model-setup qwen-model-setup Public template

    Local Qwen2.5 chatbot with FastAPI Ollama setup for CPU machines, plus a vLLM reference guide for GPU deployment. No API keys, fully offline.

    HTML

  4. LangGraph-MCP-Travel-Planner LangGraph-MCP-Travel-Planner Public

    Learn MCP hands-on: connect remote MCP servers, build your own custom MCP server, and orchestrate multi-agent pipelines with LangGraph. A complete AI travel planner project.

    HTML