Worked on stabilizing the Qwen3_5ForConditionalGeneration path in the jeejeelee/vllm repository, focusing on improving model reliability and inference accuracy. Addressed a critical bug by restoring the missing in_proj_z mapping within the packed_modules_mapping, which was essential for correct input projection behavior, particularly in the context of LoRA integration. This targeted fix reduced the risk of misprojections during inference and reinforced the robustness of the model-loading and inference pipeline for downstream workloads. The work demonstrated strong debugging and code-quality practices, leveraging deep learning and machine learning expertise with Python to enhance the stability and maintainability of the codebase.