# AI-Powered SaaS Platform for Music Search

> Production-ready SaaS platform bridging an AI music search model with subscriptions, payments and serverless inference. Symfony, React Remix, AWS Lambda.

Source: https://jeffrey-boehm.de/en/work/ai-music-search-saas/. Language: en. Updated: 2025-06-01.

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

## 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

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Provider: Jeffrey Böhm, Düsseldorf, Germany. Contact: hello@jeffrey-boehm.de. All pages at a glance: https://jeffrey-boehm.de/llms.txt