Worked on the jeejeelee/vllm repository to enhance type safety and maintainability in distributed MixtureOfExperts weight management. Focused on refining the type signature for expert_weights, the update ensures that weights are handled as mutable sequences of sequences of tensors, reducing runtime risk and clarifying intent for developers working with distributed inference and training. The work leveraged Python and emphasized type hinting and protocol design to improve code clarity and developer experience. No user-facing changes or bug fixes were introduced during this period, with efforts concentrated on strengthening the internal structure and reliability of distributed systems within the codebase.