I will build a multi agent ai saas platform using react django and langgraph


About this gig
About This Gig
Looking to build a cutting-edge, multi-agent AI SaaS platform
What I Can Build For You:
Multi-Agent AI Systems: using LangGraph, LangChain, and custom state machines.
AI SaaS Platforms: Full-stack, subscription-ready web applications built from scratch.
MCP Integrations : Connecting your AI agents to external tools, databases, and APIs using Model Context Protocol.
B2B Web Applications: Scalable and secure platforms using React for the frontend and Django (Python) for the backend.
· Custom Chatbots: Integrating advanced LLMs (OpenAI GPT, Claude, DeepSeek, Llama) tailored to your business logic.
My Tech Stack:
· Frontend: React.js, JavaScript, TailwindCSS
· Backend: Django, Python, REST APIs
· AI & Agents: LangChain, LangGraph, RAG,fast api ,MCP, OpenAI.
· Databases: PostgreSQL, Vector Databases (Pinecone, ChromaDB)
Middleware: Redis
Cloud service :AWS
Container : Docker
Database RDBMS MySQL NonSQL MongoDB
Why Work With Me?
· Clean, Scalable Code: I write maintainable code that is ready for production, not just a prototype.
Full-Stack Expertise: I handle everything from the database structure to the AI agent logic and the React us
Get to know M Nouman
Full Stack Web Developer with LLM AI Integration React Python AWS
- FromPakistan
- Member sinceAug 2025
Languages
English, Urdu
My Portfolio
FAQ
Can you build the whole system (frontend, backend, and AI agents)?
Yes. I am a full-stack developer. I build the frontend in React, the backend/REST APIs in Django/Python, and the AI logic using LangChain, LangGraph, and MCP. You don't need to hire separate developers.
Do I get the full source code and ownership?
Yes, 100%. Upon final delivery and payment, you receive the complete, unminified source code (GitHub repo), database schemas, and full intellectual property rights. I can also help you deploy it to AWS or your preferred cloud provider.
What exactly is MCP, and how do you use LangGraph?
MCP (Model Context Protocol) allows your AI agents to safely connect to external tools, databases, and APIs. LangGraph is used to build complex, multi-agent workflows where agents can collaborate, use tools, and remember context. I use these to build reliable, enterprise-grade AI.
How does the development process work for a large SaaS project?
Because SaaS platforms are complex, we will use Fiverr Milestones. First, we finalize the requirements and architecture. Then, I build the MVP (React + Django + basic AI), you review it, and finally, we implement the advanced multi-agent logic (LangGraph/MCP) and deploy.

