Shenqi worked on the huggingface/lerobot repository, focusing on stabilizing asynchronous training device handling and improving inference pipeline reliability. Using Python and leveraging skills in async programming and data handling, Shenqi addressed a device management issue by fixing the transfer of action tensors to the correct client device during distributed training. The solution involved refining server-to-client tensor flows so that the server sends CPU tensors and the client manages device conversion, reducing device-mismatch errors. Shenqi also updated type annotations and internal imports to align with the new async workflow, resulting in more robust and maintainable cross-device execution for machine learning robotics.