I will build your production ai backend with fastapi

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yuanyuexiang
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yuanyuexiang
Tom Yuan

About this gig

I build reliable Python and FastAPI backends that connect AI models to real business workflows.


What you receive:

- Clean FastAPI endpoints with request and response validation

- GPT, Gemini, DeepSeek, or another agreed model API integration

- Structured JSON output, error handling, source code, and setup documentation

- Package-specific database or external API integration

- Docker and tests where included


Before ordering, send your goal, existing architecture or code, API docs, anonymized sample data, test credentials, expected input/output, and deployment environment. Delivery starts after all required materials are available.


Acceptance: agreed endpoints pass approved test cases, outputs match the documented schema, and source code plus setup instructions are delivered.


Not included unless agreed: frontend/mobile UI, model training, paid API/cloud fees, extra data sources, extra environments, or production operations. New endpoints, integrations, fields, or environments are scope changes.


Includes 7 days of bug-fix support after acceptance. New features are quoted separately. Message me before ordering if your existing system needs investigation.

Get to know Tom Yuan

Tom Yuan

AI Agent and Backend Engineer RAG MCP Go FastAPI

  • FromChina
  • Member sinceNov 2024
  • Avg. response time6 hours
  • Languages

    Chinese, English
I help businesses turn AI ideas into production systems connected to real data, tools, and workflows. With 15+ years of engineering and technical leadership experience, I build AI agents, RAG assistants, custom MCP integrations, document automation, and scalable backend platforms. My core stack includes Go, Python FastAPI, React Next.js, PostgreSQL, Docker, Kubernetes, and DevOps. I lead projects end to end, from architecture and development to deployment, documentation, and ongoing iteration. I work remotely from China with clients worldwide and accept fixed-price, milestone-based projects.

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