March 2026 monthly summary: Delivered performance and stability improvements across two sg-lang repositories. In yhyang201/sglang, introduced asynchronous CUDA graph prefill and removed synchronization points in the Mamba cache, enabling asynchronous execution and improved GPU resource management for faster batch processing and higher throughput. In ping1jing2/sglang, fixed streaming session memory leaks by addressing chunked prefill handling, KV cache management, retry handling, and unfinished requests; fixed token leaks when logprob_start_len is 0. Added tests to validate memory-leak-free concurrent streaming sessions and no token leaks with logprobs enabled. Overall impact: improved throughput, reduced latency, and greater stability for long-running streaming workloads. Demonstrated technologies/skills: CUDA graphs, asynchronous GPU workflows, cache coherence, memory management, streaming session architecture, and test-driven development.

February 2026 monthly summary focused on delivering distributed initialization flexibility and execution performance improvements across two SG-Lang repos, enabling smoother deployments and higher throughput.