FastAPI services
Typed endpoints, validation, dependency injection and structured error handling.
FastAPI development for APIs, automation and product backends.
I use Python and FastAPI when fast delivery, asynchronous I/O, automation or the wider Python ecosystem makes it the right fit. I can build a focused service from scratch or add a FastAPI component to an existing system.
When it fits
Useful for API-heavy products, automation services, internal tools and backends that benefit from Python libraries and rapid iteration.
Typical stack
Python · FastAPI · SQLAlchemy · PostgreSQL · Redis · pytest · asyncio · Docker · REST · JWT
What I can deliver
Practical scope, clear implementation.
The exact combination depends on the project. These are the areas I can cover directly.
Async workflows
Async I/O for external services, databases and network-bound processing where it provides real value.
SQLAlchemy & PostgreSQL
Models, migrations, queries and database integration.
Authentication
JWT-based authentication and integration with OAuth flows where needed.
Testing
pytest-based tests for key application behavior and API contracts.
Docker
Containerized development and deployment workflows.
Process
From scope to working delivery.
1
Define API
Clarify endpoints, data model, integrations and expected workload.
2
Implement
Build typed FastAPI routes and the application layer around them.
3
Test & ship
Cover critical behavior, containerize the service and prepare the deployment flow.
Pricing
Request an estimate ↗Get a clear quote before development starts.
Small focused tasks can start from $150. Websites, features and integrations typically start from $400. Larger MVP and custom backend work starts from around $1,200, depending on scope.
FAQ
Common questions
Can you work with an existing Python project?+
Yes. I can add endpoints, integrations, database work or tests to an existing codebase.
Do you use async everywhere?+
No. Async is useful for I/O-bound work, but I use it where it improves the system rather than as a requirement.
Can FastAPI work with PostgreSQL?+
Yes. PostgreSQL is a common choice and can be used with SQLAlchemy and appropriate migration tooling.
When would you choose Go instead?+
For services where predictable performance, concurrency and a compact deployment artifact are primary concerns, Go may be the better fit.
Related services
Other ways I can help
Have a project in mind?
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