AI Fashion Social Mobile App: From Inherited Code to Production

This was a startup-style engagement: move fast, ship a stable beta, and design the architecture to scale without burning money.

Our approach focused on: Completing and stabilizing an inherited codebase, improving maintainability and delivery speed.

Implementing AI-assisted tagging (LLM API) to improve content organization and discovery.

Shipping a production-ready mobile experience, aligned with social app expectations (feeds, profiles, interactions).

Building scalable infrastructure with cost trade-offs in mind (ready to grow, but lean for early-stage usage).

Setting up monitoring and maintenance workflows to keep the app stable post-launch.

Staying highly responsive to a startup environment with flexible hours and proactive problem solving.

When issues appeared (including developer fit), we handled it quickly by swapping developers fast and smoothly, keeping delivery on track.