During February 2025, Hao Zhang focused on backend development for the kvcache-ai/ktransformers repository, addressing concurrency control in Python. He enhanced the robustness of server-side inference by introducing an asyncio lock within the KTransformersInterface, ensuring that concurrent inference requests are serialized to prevent race conditions. This technical approach stabilized the inference path under multi-threaded workloads, reducing the risk of data integrity issues and operational errors. Although the work centered on a single bug fix rather than new features, it demonstrated depth by laying a solid foundation for safer, scalable asynchronous inference and future performance improvements in complex server environments.