Taranpreet worked on the deepinv repository, focusing on enhancing the reliability of image processing operations in Python. During January 2026, he addressed a bug in the Blur class by implementing explicit input dimension validation, ensuring that only 4D or 5D tensors are accepted and raising a clear ValueError for invalid shapes. This approach improved error handling and reduced the risk of silent failures due to unexpected tensor inputs, directly supporting production pipeline robustness. His work emphasized maintainable code through focused validation logic and clearer error messages, leveraging his skills in Python, error handling, and image processing to improve overall code quality.