Over a two-month period, this developer enhanced multimodal processing capabilities and improved model stability across two repositories. In kvcache-ai/sglang, they introduced a unified server argument for multimodal input preprocessing, allowing modality-specific configuration for image, video, and audio data. This Python-based solution streamlined pipeline flexibility and laid the foundation for future optimizations. Later, in yhyang201/sglang, they addressed a compatibility issue by updating the name replacement logic for the Qwen3VL visual module, ensuring reliable loading with VisionAttention-based models. Their work demonstrated proficiency in Python, deep learning, and configuration management, focusing on maintainability and robust deployment in production environments.