I'm a FastAPI developer who builds high-performance, production-ready APIs and backend systems. FastAPI has become the go-to framework for modern Python web development, and I've used it to deliver scalable solutions for startups and enterprises alike.
Why FastAPI?
FastAPI offers automatic OpenAPI documentation, native async support, and performance on par with Node.js and Go. It's built on Starlette and Pydantic, which means you get type hints, validation, and serialization out of the box. For teams building APIs, microservices, or data pipelines, FastAPI reduces development time while maintaining code quality. The framework's dependency injection system makes testing easier, and the built-in data validation catches errors before they reach production. Whether you're building a public API, an internal microservice, or a real-time application, FastAPI provides the right balance of speed and structure.
Technical Stack
I work with FastAPI alongside PostgreSQL, Redis, Celery, and SQLAlchemy for robust data layers. For authentication, I implement JWT, OAuth2, and API keys. I integrate with message queues (RabbitMQ, Redis), caching strategies, and cloud services (AWS, GCP). Frontend integrations include Next.js, React, and Vue. I use Alembic for database migrations, pytest for testing, and Docker for consistent deployments. When building APIs that need to scale, I add Redis for session storage, rate limiting, and caching. For background jobs like email sending or report generation, Celery with Redis or RabbitMQ handles the heavy lifting.
Use Cases
I've built REST and GraphQL APIs for SaaS products, internal tools, and public-facing platforms. Common projects include: multi-tenant backends, real-time dashboards, payment integrations (Stripe), file processing pipelines, and webhook handlers. I also migrate legacy Django or Flask apps to FastAPI when performance matters. Startups often need an API-first backend for their mobile or web app—FastAPI delivers that quickly. Enterprises use me to build internal APIs that connect legacy systems or power new microservices. I've built APIs for fintech, healthcare, e-commerce, and developer tools. Each project gets a clean architecture that's easy to extend.
Client Problems Solved
Clients come to me when their existing API can't handle load, when they need clear documentation for their team, or when they want to ship faster without sacrificing type safety. I've reduced response times by 60% in migrations, implemented row-level security for multi-tenant apps, and set up CI/CD pipelines for zero-downtime deployments. One client had a Django API that was slow under load—we migrated critical endpoints to FastAPI and cut p99 latency in half. Another needed an API for their React app with automatic OpenAPI docs—their frontend team could integrate in days instead of weeks. I focus on delivering code that's maintainable, well-tested, and ready for production from day one.
Frequently Asked Questions
What makes FastAPI different from Django or Flask?
FastAPI is async-first, provides automatic OpenAPI docs, and uses Pydantic for validation. It's ideal for APIs and microservices where performance and developer experience matter. Django excels at full-stack apps with admin and ORM; Flask is lightweight but requires more manual setup.
Do you build full-stack applications with FastAPI?
Yes. I typically pair FastAPI with a modern frontend (Next.js, React) or mobile app. FastAPI handles the API layer, authentication, and business logic while the frontend focuses on UI. I can also integrate with existing frontends.
How long does a typical FastAPI project take?
A simple CRUD API can be delivered in 1–2 weeks. A multi-tenant SaaS backend with auth, billing, and integrations typically takes 4–8 weeks. I provide estimates after understanding your requirements.