I will build your ai integrated fastapi backend


About this gig
Build the Future with AI-Powered FastAPI Backends!
I build production-ready FastAPI backends with AI integration using modern AI-assisted development to move fast, while owning every architecture decision and edge case myself. You get a backend that's tested, documented, and works end-to-end.
Why FastAPI?
It's 3x faster than Flask, natively asynchronous, and perfect for AI's long-running tasks. Every project includes auto-generated Swagger/ReDoc documentation.
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My Expertise:
- AI Integration: OpenAI (GPT-5o), Claude 4.8, and Gemini.
- Advanced AI: RAG pipelines (Chat with your PDFs/Docs) & LangChain workflows.
- Vector DBs: Pinecone, ChromaDB, and Weaviate.
- Robust Backend: JWT Auth, Pydantic validation, and PostgreSQL/MongoDB.
- Deployment: Dockerized setups ready for AWS, Render, or DigitalOcean.
Why Me?
As a CSE student, I follow industry-standard clean code and type safety. You get a production-ready backend with a full Postman collection for testing.
Let's turn your idea into an intelligent reality.
Get to know Eshan R
Clear Voice, Studio Quality, On Time Delivery
- FromIndia
- Member sinceSep 2024
Languages
English, Kannada, Hindi, Japanese
FAQ
Why do you use FastAPI instead of Flask for AI projects?
FastAPI is natively asynchronous. AI model calls (like OpenAI) can take several seconds to process; FastAPI allows the server to handle other requests while waiting, making your app 3x more efficient than traditional Flask setups.
Do I need to provide my own API keys?
Yes, you will need to provide your own API keys (OpenAI, Anthropic, or Gemini). This ensures you have full control over your usage costs and data privacy. I will guide you on how to set these up securely.
What is "RAG" and why is it in the Standard/Premium tiers?
RAG lets the AI "read" your documents (PDFs, TXT, etc.) for accurate answers. It needs a Vector Database plus persistent data setup — that's why it's bundled into Premium along with full database integration, the tier built for real, memory-enabled AI apps.
Can you help with cloud deployment?
Absolutely. While the basic package covers the code, I offer an "Extra" service to deploy your FastAPI backend to platforms like Render, AWS, or DigitalOcean so it’s live and ready to use.
Is the code documented for future developers?
Yes. I follow strict CSE standards with clean Pydantic models, type hinting, and auto-generated Swagger UI (/docs). Your backend will be easy for any developer to understand or scale later.
What happens if I find a bug after delivery?
Quality is my priority. To ensure a smooth handoff, I provide a Postman Collection with every order so you can verify all endpoints before the project ends. If any issues arise post-delivery due to my code, I offer full support to fix them and ensure your AI backend runs perfectly.
Can you integrate the AI with my existing database?
Absolutely. My Standard and Premium packages include integration with PostgreSQL, MongoDB, or MySQL using SQLAlchemy or Tortoise ORM to ensure your AI has a persistent memory.
Do you use AI tools to build this, and does that affect quality?
Yes, I use modern AI-assisted development to build faster — but every architecture decision, security check, and edge case is reviewed and owned by me personally. You're paying for correctness and accountability, not just code generation.

