Freelance Python Programmer: Scaling High-Throughput Django, FastAPI & Asyncio Systems
Python powers both modern enterprise web backends and the entire artificial intelligence ecosystem. However, scaling Python in production—whether handling thousands of concurrent webhook events in FastAPI, optimizing complex geospatial queries in Django & PostGIS, or orchestrating asynchronous LLM pipelines—requires deep architectural discipline.
As a Senior Freelance Python Programmer with over 15 years of experience, I help engineering teams design, debug, and scale mission-critical Python applications. You can hire me on Upwork (aldianf) for dedicated Python backend, API, data engineering, and AI integration projects.
What I Deliver as a Freelance Python Programmer
1. Enterprise Django & Django REST Framework Architecture
- Query & ORM Optimization: Eliminating N+1 queries, designing custom Django ORM managers, building custom BI analytics engines directly in PostgreSQL, and tuning multi-layer Redis/Memcache caching.
- Security & Multi-Tenancy: Database-driven dynamic rate limiting, Sentry security context alerting, OAuth 2.0 / JWT authentication, and GDPR/HIPAA data isolation.
- Serverless Django on Cloud Run: Multi-stage Docker builds, replacing heavy Celery clusters with serverless Google Cloud Tasks, and serving Universal Links (AASA) at the edge.
2. Asynchronous Microservices with FastAPI, SQLAlchemy & Asyncpg
- Non-Blocking I/O: Designing fully asynchronous FastAPI gateways backed by
SQLAlchemy+asyncpgconnection pools,aiokafkaevent loops, and Ariadne GraphQL resolvers. - High-Speed Ingestion & Crawlers: Building polymorphic asynchronous crawlers and ETL pipelines with exponential backoff, OAuth token rotation, and Dead-Letter Queues (DLQs).
3. Python for AI, Machine Learning & Document Intelligence
- LLM & RAG Backends: Integrating OpenAI, Anthropic Claude, and Google Vertex AI with vector databases, structured Pydantic outputs, and Batch API cost optimization.
- Document AI & Computer Vision: Combining Google Cloud Document AI, AWS Textract, Pillow image pre-processing, and regex fallbacks to achieve near-100% extraction accuracy on financial and medical documents.
Selected Python Engineering Case Studies
- Building a Custom BI and Analytics Engine in Django ORM
- Serverless Background Jobs in Django: Ditching Celery for Google Cloud Tasks
- Fully Asynchronous PostgreSQL with SQLAlchemy and asyncpg: Connection Pool Tuning
- Architecting Asynchronous Microservices with FastAPI
Need a seasoned freelance Python programmer to accelerate your roadmap or resolve production bottlenecks? Connect with Aldian Fazrihady on Upwork.