I will build a scalable fastapi backend with async sqlalchemy and graphql

I build production-grade Python backends with FastAPI and Strawberry GraphQL the same stack I use for Beak LIMS, a clinical LIMS serving real laboratories.

What you get:

• Clean async FastAPI setup with proper dependency injection
• Strawberry GraphQL schema (or REST your call) with query/mutation/subscription support
• SQLAlchemy 2.0 async models with Alembic migrations
• PostgreSQL data layer (including TimescaleDB if you need time-series)
• JWT or session auth, RBAC, RSA-signed tokens if needed
• Dockerfile + docker-compose for deployment
• Tested, typed, documented

Stack I'm fluent in: FastAPI, Strawberry GraphQL, SQLAlchemy, Alembic, Pydantic v2, PostgreSQL, Redis, Celery/BullMQ, Docker.

Message me with your project description before ordering so I can scope accurately.