Custom Python
Backends That
Actually Scale.
Async FastAPI + asyncpg + PostgreSQL. The same stack powering God Mode, Jumpstart Scaling, and every high-throughput system I have shipped.
< DISCUSS_YOUR_API />// Minimum engagement: $10k. Production-grade only.
Python Backend Capabilities
< REST & WEBSOCKET APIs />
FastAPI with full OpenAPI docs generated automatically. REST, WebSocket, and SSE. Rate limiting, auth middleware, background tasks, and webhook receivers.
< ASYNC DATA PIPELINES />
asyncpg for blazing-fast PostgreSQL reads/writes. Batch processing, queue consumers, and ETL pipelines that handle millions of rows without choking.
< AI ORCHESTRATION />
LangChain, LlamaIndex, and bare OpenAI/Anthropic API. Agent pipelines, RAG with pgvector, and private LLM endpoints on your own infra.
Why I Chose Python for Production Backends
I have built in Node, Go, and Python. For data-heavy, AI-adjacent backends, Python wins on every metric that matters in production.
- ✓ FastAPI auto-generates OpenAPI docs — no manual spec writing
- ✓ asyncpg is 3x faster than SQLAlchemy for high-throughput reads
- ✓ Pydantic v2 validates every request/response at the type level
- ✓ Python's AI/ML ecosystem is 5 years ahead of every other language
- ✓ Celery + Redis for background tasks that survive server restarts
Use Cases I Build For
CRM Sync Engines
Webhook receivers that sync leads from Facebook, Google, and landing pages into GHL, HubSpot, or a custom DB in real time.
AI Agent Backends
API layers that orchestrate private LLMs: lead scoring, email drafting, competitor analysis, proposal generation.
CAPI / Tracking Servers
Server-side conversion APIs for Facebook, Google, and TikTok. No pixel dependencies. Works through ad blockers and iOS14.
Calculation APIs
Financial calculators, ROAS models, LTV projections. Handles complex formulas with Pydantic-validated inputs and cached results.
Multi-Tenant SaaS Backends
Row-Level Security in PostgreSQL + JWT auth. Every tenant's data isolated at the database level, not just the application layer.
Automation Backends
n8n webhook targets, Airtable replacements, and custom API backends for no-code tools that have outgrown their hosts.
The Tech Stack in Detail
FastAPI 0.110+ — Async Python web framework. Auto-generated OpenAPI/Swagger docs. Dependency injection for auth, DB connections, and rate limiting. Background tasks without Celery for simple cases.
asyncpg + PostgreSQL 16 — Direct PostgreSQL driver without ORM overhead. 3x faster than SQLAlchemy for read-heavy workloads. JSONB columns for flexible schema. pgvector extension for AI semantic search.
Pydantic v2 — Request/response validation at the type system level. Invalid data never reaches your business logic. Errors surface at the API boundary with clear messages.
Deployment: Coolify + Docker — FastAPI in an Alpine container. Git push to deploy. Gunicorn + Uvicorn workers. Health checks. Zero downtime deploys via container swap.
Systems I Have Shipped
God Mode API — the backend powering Jumpstart Scaling's factory: multi-tenant content generation, async job queues, and PostgreSQL as a document store. Handles bulk AI generation without dropping requests.
Solar roofing API — Google Solar API integration for a regional solar installer. Postal code lookup → solar potential calculation → lead capture API → CRM sync. 200ms response time on production.
Scope Your Python Backend
Tell me what the API needs to do. I'll tell you how long it takes to build.
Need a Production-Grade Python Backend?
14-day delivery from approved architecture doc to deployed API.
Book a Scoping Call