Project

Backend for an AI medical-diagnostics platform

Python FastAPI PostgreSQL Docker Linux
Backend for an AI medical-diagnostics platform

The Problem

An AI-assisted medical-diagnostics platform needed solid backend services and a reliable data layer to support its product, in a domain where data correctness and traceability are non-negotiable.

The Approach

I designed and maintained the backend services with FastAPI, implemented the data-access layer with PostgreSQL and SQLAlchemy, and built the auxiliary microservices the system needed to run in a decoupled way.

The Outcome

A stable, maintainable backend supporting the product in production.

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