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Fiverr Pro
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I will design python fastapi backend and rest API
Sohini B
Über diesen Service
Need a backend that actually handles production load not a tutorial-style Flask app with no auth and no error handling?
I build Python backends using FastAPI: async endpoints, JWT or OAuth2 authentication, Pydantic validation, SQLAlchemy with PostgreSQL or MongoDB, proper error handling, and auto-generated OpenAPI docs. Every API I deliver is testable, documented, and deployable not just running on localhost.
What I can build for you:
- REST APIs for web or mobile frontends
- ML model serving endpoints (load a trained model, serve predictions via API)
- Background job scheduling (APScheduler or Celery for tasks like data sync, email, reports)
- Database design and schema setup with migrations
- Auth systems: JWT tokens, role-based access control, session handling
I've built FastAPI backends for a fintech portfolio tracker (live price sync, quant calculations, multi-user auth) and an ML intrusion detection system (model serving + drift monitoring). I can share the repos on request.
Message me with your use case before ordering I scope custom work accurately so there are no surprises mid-project.
Lerne Sohini B kennen
Sohini B
Full Stack Engineer Building AI Powered Apps
- AusIndien
- Mitglied seitJuni 2025
- ⌀ Antwortzeit1 Stunde
Sprachen
Bengalisch, Englisch, Hindi
Full-stack developer building products where React/Next.js meets real AI integration, not an API wrapper but actual ML pipelines underneath. Backend in Python/FastAPI, deploying ML models alongside REST APIs. Recent work –
QuantLedger: A fintech portfolio tracker with live market data and quant risk metrics.
NetSentinel: An ML-based intrusion detection system using XGBoost with full MLOps tracking (MLflow, Evidently AI).
Spark: An LLM-integrated project visualization tool.
I scope realistically, communicate clearly, and ship code that holds up past the demo, not just the pitch.
Mein Portfolio
Meine weiteren Dienstleistungen im Bereich Software-Entwicklung
FAQ
Can you serve a trained ML model through the API?
Yes. I can wrap any trained scikit-learn, XGBoost, or PyTorch model in a FastAPI endpoint with input validation, error handling, and JSON responses. Share your model file to confirm compatibility.
What database do you use?
PostgreSQL by default with SQLAlchemy ORM and Alembic migrations. MongoDB available if your data is document-based. I'll recommend the right one if you're unsure.
Will the API have documentation?
Yes. FastAPI auto-generates an interactive Swagger UI at /docs and ReDoc at /redoc. Every endpoint is documented with request/response schemas included.
Can you build authentication and user roles?
Yes. JWT-based login, token refresh, and role-based access control (admin, user, etc.) are included in Standard and Premium packages.
Do you help with deployment?
Deployment instructions for Docker + Railway/Render/VPS are included. Hands-on deployment assistance is available as an add-on — message me first.
I already have a frontend. Can you build just the backend?
Yes, that's exactly what this gig is for. Share your frontend's expected API contract (or describe it) and I'll build to match.
