This is a professional, high-impact project description designed for a Senior Software Development Engineer portfolio. It emphasizes the technical challenges you've solved (scalability, latency, and system architecture) rather than just the social features.
LOVELINE is a sophisticated mobile social application engineered for real-time user discovery and high-frequency interaction. Beyond the familiar "swipe" mechanics, the project serves as a technical showcase for building a low-latency, scalable backend capable of handling millions of micro-transactions and complex user-relationship mapping.
To achieve seamless performance and data integrity, I designed a Hybrid Cache-Aside & Write-Through Architecture. This ensures that the user experience is fluid (sub-100ms response times) while maintaining a "Source of Truth" for critical social connections.
In social discovery apps, calculating which users a person has not yet seen is computationally expensive. I solved this by implementing a Redis-based bloom filter logic, allowing the application to generate discovery feeds by cross-referencing massive "already-swiped" datasets in memory rather than executing heavy NOT IN SQL queries.
Engineered a bidirectional "Handshake" protocol. When a "Like" or "Super Like" occurs, the system triggers an atomic check against the inverse relationship. If a match is detected, the system executes a transactional write to the Matches table and triggers a real-time notification via WebSockets/Supabase Realtime.