During June 2025, contributed to both the linkedin/Liger-Kernel and liguodongiot/transformers repositories by enhancing model stability and flexibility in deep learning workflows. Addressed a bug in the Hugging Face model forward pass to ensure keyword arguments were preserved, which reduced edge-case failures and improved reliability for advanced attention mechanisms. Additionally, expanded the Qwen3MoeDecoderLayer to support passing additional keyword arguments to its self-attention module, enabling broader experimentation in research pipelines. These improvements were implemented using Python and PyTorch, leveraging expertise in machine learning, natural language processing, and transformer models to deliver more robust and configurable model deployments.