I will develop advanced ai agents using langgraph, langchain, and fastapi


Level 2
About this gig
Looking for a high-performance backend or a cutting-edge AI application? You are in the right place.
I build production-ready backend systems and intelligent AI agents using the industry's most advanced frameworks: Python, FastAPI, LangChain, and LangGraph. Whether you need a lightning-fast REST API or a complex multi-agent RAG system, I deliver clean, scalable, and fully documented code.
What I Offer:
High-Performance FastAPI Dev: Async programming, Pydantic v2 validation, WebSockets, and seamless database integration.
Advanced RAG Pipelines: Custom ingestion engines (PDFs, Docs, Web Scraping) connected to Vector Databases (Pinecone, Chroma, Weaviate) for context-aware, accurate LLM responses.
LangChain & LangGraph Orchestration: Moving beyond simple chains into stateful, cyclic multi-agent systems that can reason, use tools, and execute complex workflows.
Why Choose Me?
Production-Ready Code: Scalable architecture built for real-world traffic.
Clean Architecture: Well-structured, commented, and easy-to-maintain codebases.
Fast Delivery: Optimized development cycles to get your product to market quickly.
My Technical Stack:
Python 3.12+ | FastAPI | LangChain | LangGraph
Get to know Rizwan Mughal
Think, Build, Launch I do not just code, I create digital experiences
Level 2
- FromPakistan
- Member sinceMay 2020
- Avg. response time1 hour
- Last delivery2 days
Languages
Urdu, English, Punjabi, German, Spanish, French
My Portfolio
FAQ
What is the difference between LangChain and LangGraph?
LangChain is excellent for building linear, step-by-step sequences (chains) of LLM actions. LangGraph extends this by allowing us to create cyclic, stateful multi-agent systems. This means the AI can loop back, self-correct, reason, and collaborate with other specialized agents to solve complex task
What do I need to provide to get started with a RAG pipeline?
You will need to provide the data sources you want the AI to query (such as PDFs, text files, Notion links, or websites) and access to your preferred LLM provider (like OpenAI or Anthropic). I will handle the data parsing, ingestion, embedding generation, and vector database setup.
Why do you use FastAPI instead of other Python frameworks like Django or Flask?
FastAPI is asynchronous by default, making it incredibly fast and efficient for handling high-concurrency workloads like AI streaming responses and concurrent API calls. It also provides automatic Pydantic data validation and instant, interactive Swagger documentation.
Can your AI agents interact with external tools and databases?
Yes, absolutely. Using LangGraph and LangChain, I can equip your AI agents with specific tools. This allows them to autonomously perform Google searches, query SQL/NoSQL databases, execute custom Python code, or connect to any third-party REST API to fetch real-time data.
Do you assist with deploying the backend or AI system?
My packages primarily include the complete, production-ready source code and setup documentation. However, I can absolutely help you deploy the system to cloud platforms like AWS, GCP, DigitalOcean, or Hetzner as an additional custom extra. Please message me to discuss your server setup!
1 reviews for this Gig
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C carmengonzalez3

United Kingdom
Rizwan has helped me in product analysis and also implement a mvp version of ai chatbot i will work with him again, 100% recommended for ai services.
Up to $50
Price
2 days
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1 reviews for this Gig
| (1) | ||
| (0) | ||
| (0) | ||
| (0) | ||
| (0) |
Rating Breakdown
- Seller communication level
- Quality of delivery
- Value of delivery
Sort By
C carmengonzalez3

United Kingdom
Rizwan has helped me in product analysis and also implement a mvp version of ai chatbot i will work with him again, 100% recommended for ai services.
Up to $50
Price
2 days
Duration
V 
Seller's Response
Helpful?

