I will build secure, scalable fastapi backends with ai agent integration


Over deze dienst
Build the Future with AI-Powered FastAPI Backends!
Are you looking for a high-performance, scalable, and intelligent backend? I am a Computer Science Engineer specializing in FastAPI and AI Integration. I don't just build APIs; I build smart systems that think, remember, and scale.
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.
️
My Expertise:
- AI Integration: OpenAI (GPT-4o), Claude 3.5, and Gemini Pro.
- 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 professional Postman collection for testing.
Please message me before ordering to discuss your tech stack!
Let's turn your idea into an intelligent reality.
Maak kennis met Eshan R
Clear Voice, Studio Quality, On Time Delivery
- Afkomstig uitIndia
- Lid sindssep 2024
- Gem. reactietijd1 uur
Talen
Engels, Kannada, Hindi, Japans
Veelgestelde vragen
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 (Retrieval-Augmented Generation) allows the AI to "read" your specific documents (PDFs, TXT, etc.) to provide accurate answers. It requires setting up a Vector Database, which I handle in my higher-tier packages.
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.

