Hire · Freelance & consulting
Hire a freelance Python backend developer for AI products
Python is the language I write every day: FastAPI and Django APIs, async workers with Celery and Redis, PostgreSQL schemas, and the integrations that connect AI models to the rest of a business. I've shipped it at Zuneko Labs and Shivohini TechAI, from billing and document workflows to WhatsApp AI agents.
Problems I solve with this stack
The database has to change while the product stays up.
Stage the migration and keep the old path working until the new one is proven: done live for a client at Shivohini TechAI, MySQL to Supabase/PostgreSQL, with the AI agents running throughout.
An AI prototype works in a notebook but nobody can call it reliably.
Wrap it in a FastAPI or Django service with validated inputs, background workers for slow inference, and logging you can debug from. Most of my current work is hardening prototypes into monitored, recoverable production services.
Integrations with WhatsApp, Google Drive or third-party APIs break silently.
Idempotent webhook handling, retries with backoff, and a recovery job that backfills what was missed during downtime. I built exactly that for a WhatsApp document ingestion pipeline at Zuneko Labs.
The database has to change while the product keeps running.
Planned migrations with a rollback path. I migrated client databases from MySQL to Supabase/PostgreSQL mid-project while the AI agents stayed live.
Nobody can tell why a request failed in production.
Structured logging with request and task IDs, error reporting that names the failing step, and a short runbook for the common failures, so debugging starts from evidence instead of guesswork.
What you get
- A Python backend (FastAPI or Django) with typed, documented endpoints.
- PostgreSQL schema and migrations, Redis + Celery for background work.
- Third-party integrations: WhatsApp Business API, Twilio, webhooks, cloud storage.
- Docker, GitHub Actions CI and pytest tests.
- A handover: deployment notes and how to extend the system.
How a Python backend engagement runs
1. Read what exists
Read the repository, the deployment and a sample of real traffic or data, and write down the likely failure modes before proposing any change.
2. Agree a written scope
Fix what will be built, what will not, and how we will know it works. Larger work is split so one project is in flight at a time.
3. Build in reviewable milestones
API and schema first, then background workers and integrations, with pytest tests and CI from the first merge. The code lives in your repository from day one.
4. Harden and hand over
Add logging, retries and a recovery path, package it with Docker, then walk your team through deployment and how to extend it.
Frequently asked questions
Can you migrate our database without downtime?
That's the point of a staged migration: the old database keeps serving until the new one is verified, then you cut over with a rollback path. I did this for a client moving from MySQL to Supabase/PostgreSQL while their AI agents kept running.
Which Python frameworks do you use?
FastAPI and Django every day, Flask where a project already uses it, with Pydantic, SQLAlchemy, PostgreSQL, Redis and Celery around them.
Can you take over an existing Python codebase?
Yes. Most of my current work is hardening prototypes into monitored, recoverable production services, so I start by reading what exists before proposing changes.
How much time can you give a project?
Freelance work runs part-time alongside my current role: enough for one fixed-scope project at a time, with larger scopes planned around that.
Do you work with PostgreSQL, MySQL or MongoDB?
PostgreSQL is my default. I have also worked with MySQL, including migrating client databases from MySQL to Supabase/PostgreSQL, and with MongoDB for event-shaped data such as CCTV detections.
Do you write tests and set up CI?
Yes. pytest tests and GitHub Actions CI are part of each backend deliverable, so a change is merged with a passing check instead of manual retesting.
Do you work with international clients?
Yes. I'm based in Pune, India, and work with teams in India and remotely worldwide. Communication is async-first with scheduled calls when needed.
What does an engagement look like?
A short call to scope the problem, a written scope (what will be built, what won't, and how we'll know it works), then small milestones you can review, with the code in your repository from day one.
More questions? Ask directly
Last updated
Need help with Python backend?
Book a free 15-minute call below — describe the problem, I'll tell you honestly whether I'm the right person for it.
How I work with clients