Artemis contributed to the hasktorch/hasktorch repository by developing a type-safe tensor dimension indexing feature, focusing on improving reliability in tensor selection operations. Leveraging Haskell and advanced type-level programming, Artemis introduced both a type-level function and a runtime function that enforce compile-time checks for dimension indexing. This approach ensures that tensor manipulations are validated before execution, reducing the risk of runtime errors and enhancing API safety for users. The work demonstrated a deep understanding of functional programming and tensor manipulation, delivering foundational improvements that strengthen type-safety and reliability in Torch.Typed.Tensor’s API for future development and user workflows.