01
Async I/O with AnyIO and uvloop
Non-blocking database operations and external API integrations handling thousands of concurrent connections.
Technologies — Backend & systems
High-performance Python & FastAPI engineering
We engineer async Python APIs with FastAPI and Pydantic that connect high-volume web traffic to AI and machine learning workloads.
Core capabilities
Why we build with FastAPI & Python
02
Automated OpenAPI & Pydantic validation
Type validation from your models, generated OpenAPI docs and strict serialization.
03
ML inference serving
Model pipelines integrating PyTorch, ONNX Runtime and LangChain with worker pooling.
Use cases
Where FastAPI & Python fits
AI and LLM middleware services
Streaming RAG endpoints with token budgeting, rate limiting and vector search integrations.
Data ingestion & ETL APIs
Processing large structured CSV and JSON payloads into PostgreSQL and Snowflake.
How we staff it
FastAPI & Python engineers you interview first
Seniority and experience are agreed in the proposal, and you interview every engineer before they start.
Working-hours overlap is agreed for each engagement and written into the statement of work — the shared window, who shifts hours, and how handoffs work outside it.
Technical FAQs
Frequently asked engineering questions
Yes, for I/O-bound services. On Uvicorn with uvloop it handles high concurrency well; CPU-heavy work goes to worker processes or a separate service so it does not block the event loop.
We use SQLAlchemy 2.0 with asyncpg connection pools, lifecycle event handlers, and scoped session dependencies.
Ecosystem
Related technologies
Planning a FastAPI & Python project?
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