Build typed FastAPI services with Pydantic models, JWT auth, PostgreSQL, Redis, Docker, and production habits. Ideal for product APIs and Python AI sidecars next to Laravel or Node apps.
FastAPI is my primary Python web framework for high-performance APIs and AI microservices. You get typed models, automatic OpenAPI docs, and a clean path to async and streaming when the product needs it.
I help teams ship FastAPI backends for integrations, internal tools, and Python AI sidecars that connect to Laravel, Node.js, or React products without forcing a full rewrite.
Based in Ahmedabad, I treat FastAPI as production infrastructure: auth, validation, tests, logging, Docker, and clear service boundaries. Demo-quality notebooks are not the deliverable.
If you need hire options, go to Hire Python Developer. If the work is primarily RAG, agents, and LLM product features, also review Python AI Development and Hire AI Developer.
Laravel or Node owns the product. FastAPI owns the Python API or AI sidecar.
Framework, API habits, and how I ship FastAPI services.
Clear fits for FastAPI development so we pick the right service shape.
You want OpenAPI docs, Pydantic validation, and a maintainable FastAPI service for web or mobile clients.
Chat UIs and long-running generations benefit from FastAPI streaming endpoints with careful timeouts and logging.
You already have Laravel or Node for the product and need a FastAPI AI backend for RAG or LLM orchestration.
Typed APIs, auth, streaming, AI microservices, data stores, tests, and deploy habits.
Project structure, settings, dependency injection, routers, and OpenAPI docs that stay usable as the service grows.
Request and response contracts that catch bad payloads early and keep client integrations honest.
JWT or OAuth-style patterns with FastAPI dependencies so protected routes stay consistent.
Async IO where it helps, plus streaming responses for chat UIs and long-running generations.
LLM orchestration, RAG workers, and tool-calling endpoints that sit beside a Laravel or Node product API.
SQLAlchemy or similar data access, Redis caching, and job patterns so heavy work leaves the request path.
pytest for critical paths, structured logging, and practical monitoring hooks for production APIs.
Container images, Uvicorn or Gunicorn setups, and CI-friendly packaging for staging and production.
Choose how we work based on scope and ownership needs.
Best for a defined API, auth layer, streaming endpoint, or AI microservice with a clear done state.
Best for validating a FastAPI service quickly: skeleton, core routes, tests, and a shippable first version.
Best when FastAPI is on the roadmap for months and you want ongoing remote ownership.
Local presence for India clients, asynchronous delivery for global product teams.
Based in Ahmedabad, Gujarat, with India-friendly collaboration and clear written updates.
Overlap hours for US, UK, and EU teams plus Slack, GitHub, and issue tracking for async speed.
Typed models, tests, logging, and Docker habits, not only a quick tutorial skeleton.
Use the contact form with category Python. Mention FastAPI API, streaming, or AI microservice scope.
Guides connected to backend delivery, APIs, and production engineering.
Use this practical AWS cost audit checklist to map spend, rightsize resources, clean idle waste, and build FinOps habits for lasting cloud cost optimization.
Learn how to write optimized, multi-stage Dockerfiles for Python and FastAPI applications with small image sizes, non-root security, and fast build caching.
How to observe Python LLM services in production: structured logs, token cost tracking, traces, and quality signals beyond uptime checks.
Common questions about FastAPI vs Django, hybrid stacks, streaming, auth, and deploy habits.