High-Performance Python & FastAPI Backend Engineering
Power your AI products and mobile apps with asynchronous, high-throughput Python backends. Sub-50ms endpoint latencies, Pydantic validation, and production vector search.
End-to-End Sprint Deliverables
Every deliverable is production-tested, fully documented, and delivered directly to your GitHub organization.
Async API Design & OpenAPI Spec
Strictly typed, asynchronous REST APIs with auto-generated interactive OpenAPI/Swagger documentation.
High-Throughput Vector & AI Serving
Streaming response endpoints for LLM completions, batch embedding pipelines, and sub-10ms vector querying.
Microservices & Worker Queues
Distributed Celery/Redis background worker pools for compute-heavy scraping and ML inference tasks.
Docker Containerization & CI/CD
Production-ready multi-stage Dockerfiles and GitHub Actions pipelines for automated cloud deployment.
Architectural Layers & Technical Decisions
How we structure your system to ensure sub-second response times and effortless vertical scaling.
FastAPI, Uvicorn, Pydantic v2
Non-blocking I/O capable of handling thousands of concurrent requests per second on minimal compute.
PostgreSQL, asyncpg, Redis
Asynchronous connection pooling with multi-tiered caching for high read frequencies.
Frequently Asked Questions
Everything you need to know about scoping, delivery, and code ownership.
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