Lengyue developed and integrated audio input multimodal support for the kvcache-ai/sglang repository, enabling the system to process both audio and text inputs for more advanced AI interactions. Using Python and leveraging deep learning and model integration skills, Lengyue implemented the Qwen2-Audio model to expand the platform’s capabilities beyond text, addressing accessibility and supporting new voice-enabled workflows. The work required careful handling of multimodal AI pipelines to ensure seamless integration and user experience. Although the project scope was focused on a single feature over one month, the technical depth demonstrated a strong understanding of model integration and multimodal system design.