Matchmaking Platform — Matching & Real Time Messaging
Overview
A matchmaking platform supporting over 1,000 registered users, with profile recommendations based on user preferences and location radius, and real time chat. I built the backend APIs and the PostgreSQL data structures behind it.
The Challenge
Search needed to stay fast as the user base grew, and recommendations needed to weigh preferences and location radius without slowing the profile browsing experience.
Results & Impact
Built the backend APIs and PostgreSQL data structures, and implemented profile recommendation matching driven by user preferences and location radius. Identified missing database indexes and corrected the query path — in a later version — that was slowing profile search, and built real time chat with Socket.io and a Redis adapter.
Conclusion
A practical example of finding and fixing a real database performance bottleneck — not just building the feature, but making it fast at scale.