Hire Python Developer — APIs, pipelines, and automation built for real traffic

FastAPI for high-performance APIs, Django and DRF for full platforms, Flask for lightweight services, and Celery for background work — chosen by fit, not fashion, for your specific problem.

Yes. I audit the codebase, tests, and infrastructure, stabilize the critical paths first, then refactor toward a sane architecture with your team in the loop throughout.

With profiling first: I measure where time and memory actually go, then optimize queries, add caching or streaming, and parallelize safely — never premature optimization on guesses.

Always. Pytest suites with meaningful coverage on critical paths, plus type checking and CI gates. Untested code doesn’t ship to your production on my watch — that’s non-negotiable.

A discovery call to understand the problem, then a scoped proposal with milestones and timeline. Most engagements kick off within one to two weeks of that first conversation.

Most engagements are either a fixed-scope project with milestone payments or a day-rate retainer for ongoing work, and I tell you upfront which fits better. Short, well-defined builds suit fixed scope; discovery-heavy or evolving work suits time-and-materials so you are not paying for padding. When you hire a Python developer at senior level, you are mainly buying fewer wrong turns, so I bias toward smaller, de-risked phases rather than one large contract.

It depends on the workload, and I will give you an honest answer rather than defend Python reflexively. Python is excellent for data, ML, rapid API development, and anywhere team velocity matters; Go or Rust win for CPU-bound services that need tight latency and low memory. For most API and data products the database and architecture decide performance, not the language, so Python's ecosystem and speed of delivery usually outweigh a few milliseconds.

Yes. I build the production scaffolding around models: serving endpoints, batching, queuing with Celery, vector search, and LLM integrations with proper rate limiting, caching, and cost controls. I am a software engineer who ships ML into production reliably, not a researcher training novel models from scratch, and I am clear about that line. If you need the model served, monitored, and affordable to run, that is squarely my work.

Yes, and I do it incrementally rather than as a risky rewrite. I get the code onto a modern, supported Python and framework version step by step, adding tests around existing behaviour before changing it so nothing silently breaks. Version upgrades, dependency untangling, and framework migrations, Django 2 to 5 for example, are a common reason people hire a Python developer with real production scars, and I have them.

No. I write code your developers can read, document the decisions that are not obvious, and keep you involved through weekly demos rather than disappearing into a black box. Where it helps, I pair with your team and record short walkthroughs of the tricky areas. The goal is a clean handover: a running system, a green test suite, and a team that genuinely understands it.

I usually begin within one to two weeks of a scoped agreement. Based in Dubai, I overlap comfortably with Europe, the UK, the Middle East, and much of Asia, and I keep sensible hours for US clients too. I work asynchronously by default, with clear written updates, a shared board, and short demos, so progress never stalls waiting on a meeting, wherever you happen to be.