AI-Powered SaaS Platform for Music Search

Role: Full-stack developer & technical advisor
Year: 2025–2026
Technologies: PHP, Symfony, React, Remix, AWS Lambda, AWS S3, MySQL, API Platform

Built a production-ready SaaS platform bridging a research-grade AI music search model with subscription management, payment integration, and serverless inference. Symfony backend, React (Remix) frontend, AWS Lambda inference.

The challenge

Turn a research-grade AI music search model into a reliable SaaS product for the film and media industry, with subscriptions, payments and scalable inference.

My role

Full-stack delivery: Symfony backend, React (Remix) frontend, serverless AI inference on AWS Lambda, Mollie payment integration, CI/CD plus advisory on product architecture.

The outcome

Production-ready platform live from day one with the AI model bridged to a working subscription product.

Context

Browser-based SaaS platform for the professional film and media industry, enabling semantic music search powered by a proprietary AI model developed by the client.

Challenge

Bridging a research-grade AI model with a production-ready SaaS product, reliable from day one, with subscription management, payment integration, and a scalable inference infrastructure.

My Role

Full-stack developer and technical advisor. Symfony backend, React frontend (Remix), serverless AI model inference on AWS Lambda, PSP integration (Mollie), CI/CD pipeline setup, and advisory on product architecture and go-to-market infrastructure decisions.

Technologies: PHP, Symfony, React (Remix), AWS Lambda, AWS S3, MySQL, API Platform, Mollie