During August 2025, Zhang Yuekai enhanced multi-modal capabilities across two major repositories, liguodongiot/transformers and bytedance-iaas/vllm. He implemented a feature in vllm’s Qwen2 model to support audio embedding inputs, refactoring audio input handling for compatibility with new embedding types. Zhang also addressed two critical bugs: he corrected multimodal token replacement logic in transformers to ensure special tokens only trigger when media is present, and fixed bf16 tensor handling in vllm’s multimodal hasher to prevent data representation errors. His work demonstrated strong proficiency in Python, PyTorch, and audio processing, delivering targeted improvements with clear technical depth.