Aizaz
Technology
FastAPI Development for AI APIs and High Speed Backends
Fast, typed Python APIs for AI features, data services, and automation — with OpenAPI docs your frontend and partner teams can actually use.
Business outcomes we build with FastAPI for AI APIs and High Speed Backends
- Expose AI and ML capabilities through secure, documented APIs
- Build async ingestion endpoints for webhooks and file uploads
- Reduce latency for data heavy SaaS features with Python async IO
- Integrate FastAPI services with React frontends and AWS infrastructure
Example use cases
How we use it in production
- FastAPI with Pydantic models and automatic OpenAPI generation
- Async SQLAlchemy or asyncpg for PostgreSQL at scale
- Celery, Redis, or SQS for long running AI and ETL jobs
- Uvicorn behind nginx or AWS ALB with structured logging
FAQs
Frequently Asked Questions
Why FastAPI for AI powered SaaS features?+
FastAPI handles async IO, streaming, and validation cleanly — ideal for LLM endpoints, embeddings, and file processing that would block a synchronous stack.
Can FastAPI sit behind our existing Node.js gateway?+
Yes. Common pattern: Node.js for auth and billing, FastAPI for AI and data heavy routes — unified behind one API domain.
Do you generate API documentation for our team?+
OpenAPI is built in. We extend schemas with examples and auth notes so frontend and integration partners ship faster.
How do you secure FastAPI endpoints in production?+
API keys, JWT validation, rate limits, and network isolation on AWS. Secrets never live in code — they come from parameter store or env management.
Next step
Discuss your stack
Tell us what needs connecting, replacing, or shipping — we’ll map whether this technology belongs in the system. hello@aizaz.studio +92 334 2056691