I will build a rag chatbot using different llm and dotnet

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mjbarad
M
mjbarad
Madhu Barad

About this gig

AI Chatbots & Voice AI Built on Real Production Experience

I build AI powered chatbots and voice assistants using RAG (Retrieval Augmented Generation), OpenAI, Azure AI, and vector databases like Pinecone. As a Senior .NET Developer with 8+ years of experience, I integrate AI directly into real production applications, not just prototypes.


What makes my chatbots different:

Answers are grounded in your own documents (PDF, Word, or text), with source citations on every response, so your bot never makes things up. Each client's data stays fully separated and private.

What you get:

  • Document upload and processing
  • Vector database setup for accurate retrieval
  • Chat widget with source citations
  • Multi agent workflows using LangGraph and Semantic Kernel
  • Optional voice AI pipeline (speech to text, RAG, text to speech)
  • Clean, production ready dotnet backend


I currently lead AI orchestration for a live Voice AI product, so this is proven in production, not just theory. I also bring 8+ years of full stack dotnet, React, and Azure experience to build reliable, maintainable solutions.

Let's discuss your project I'll help you figure out the right approach.

Get to know Madhu Barad

Madhu Barad

Senior Dotnet Developer and AI Orchestrator, RAG and Chatbot Specialist

  • FromIndia
  • Member sinceJul 2026
  • Avg. response time1 hour
  • Languages

    Gujarati, Hindi, English
Senior .NET Developer & AI Orchestrator with 8+ years building scalable, production-grade web apps and APIs. I specialize in integrating OpenAI, Azure AI, and RAG pipelines into real business applications — from custom chatbots trained on your documents to multi-agent workflows using LangGraph and Semantic Kernel. I currently lead AI orchestration for a live Voice AI product, coordinating speech-to-text, retrieval, and text-to-speech in real time. I've also led delivery on CRM and e-commerce platforms using .NET Core, C#, React, and Azure SQL. Let's talk about what you're building.

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