Jinjunjie Jinjunji focused on performance optimization for the alibaba/rtp-llm repository, implementing a top-k algorithm to improve the efficiency of top log probability calculations within the CustomChatRenderer component. By replacing a full-array sort with a targeted top-k approach in two code paths, Jinjunjie reduced unnecessary computations, resulting in lower CPU usage and decreased latency for log-probability dependent rendering. The work was carried out in Python and leveraged skills in LLM development and performance engineering. All changes maintained code quality, passed tests, and enhanced throughput for high-concurrency scenarios, with no new defects introduced during the development period.