AI-Powered SaaS Backend with RAG Pipelines

Designed and built backend services for a SaaS-style web application using Python (FastAPI). The system exposes RESTful APIs that power AI-driven user features, including retrieval-augmented generation (RAG) workflows and agent-style logic.

Implemented authentication, request validation, and structured data storage with PostgreSQL. Integrated backend APIs with a React / Next.js frontend, ensuring reliable data flow and clean API contracts. Containerized services using Docker and iterated on features independently from design through deployment.

Tech stack: Python, FastAPI, PostgreSQL, REST APIs, Docker, React/Next.js, Git