kuanzw

Developed and maintained the game backend distributed system using C++, Python, Go. Designed and implemented a scalable matchmaking system using Redis for low-latency player matching across multiple game modes, ensuring it could handle high volumes of traffic during peak hours (over 3000 qps in brench test). Developed and deployed microservices for leaderboards, player progression, and in-game economy using Docker and Kubernetes. Using Mongo as the database for storing and persisting data related to leaderboards, player progression, and the in-game economy, taking advantage of its document-oriented data model.

Responsible for developing features across different server clusters, utilizing MySQL as the primary database and Redis for caching. Refactored and fixed core server components, following the STL (Standard Template Library) standards to restructure the skip list data structure, improving code quality and maintainability. Optimized performance in multi-player combat scenarios: Conducted load testing with multiple bot players simulating online environments. Used the perf profiling tool to identify hot spots in multi-player combat scenarios. Optimized damage calculation logic, reducing the overhead of a hot spot function by 19%.