Worked on performance optimization in the tracel-ai/burn repository, focusing on improving tensor data paths using Rust. Developed a bulk-copy optimization for the FlexTensor structure, specifically targeting the conversion of strided tensors to a contiguous format when the innermost stride is one. This approach reduced overhead by enabling efficient data copying during tensor operations, which in turn improved data throughput and lowered latency in model inference pipelines. The work leveraged skills in Rust programming, performance optimization, and tensor manipulation, resulting in faster data preparation and better resource utilization without addressing major bug fixes during the reported period.