Language
Python Development Services
Data pipelines, automation, AI integration, and FastAPI backends in Python.
4+years experience
15+projects built
What I ship
What I build with Python
- 1FastAPI backends with Pydantic validation and automatic OpenAPI documentation
- 2Data processing pipelines transforming and loading business data
- 3Web scraping and content extraction pipelines with Playwright
- 4AI/ML integrations using the OpenAI API, LangChain, and vector databases
- 5Automation scripts replacing manual repetitive workflows
Capabilities
Key features I use
- FastAPI's automatic OpenAPI generation makes backend/frontend contracts explicit
- Pydantic v2 for runtime validation that's 5-50x faster than v1
- asyncio for high-concurrency I/O without the complexity of threads
- Rich scientific ecosystem: pandas, polars, numpy, scikit-learn
- LangChain and LlamaIndex for AI/LLM application development
Decision guide
When to choose Python
- You need access to the scientific computing or ML ecosystem
- The team already knows Python and you want to move fast
- Data transformation pipelines where pandas/polars are the right tool
- AI/ML integrations where the best libraries are Python-first
Honest trade-offs
Limitations to know
- Python is slow for CPU-intensive work — the GIL limits multi-threaded performance
- Dynamic typing makes large Python codebases harder to refactor safely than TypeScript
- Not my first choice for a primary web application backend — Node.js or Go are better there
FAQ
Common questions
Django or FastAPI?+
FastAPI for new projects that need an API backend — it's faster, has better type safety, and the async support is first-class. Django for content-heavy applications where the ORM and admin are a genuine productivity win.
Next step
Need a Python developer?
Tell me what you're building. I'll give you a straight answer on whether Python is the right choice and what I'd build for your specific use case.