During November 2025, Halyavin focused on maintaining and improving the IBM/vllm repository, addressing a critical issue in the FusedMoEModularKernel component. He identified and corrected a misprint in the a2_scale argument during parameter slicing, which had been introduced after a recent modular kernel refactor. Using Python and leveraging his expertise in PyTorch and deep learning, Halyavin ensured the patch restored correct model inference and maintained production stability. The fix was thoroughly validated through unit tests and continuous integration, demonstrating careful debugging and attention to code quality. No new features were shipped, reflecting a targeted approach to reliability and maintainability.