During their work on the FAIR-Chem/fairchem repository, Recisic focused on improving the reliability of GPU-accelerated data handling by addressing a critical bug in the conversion of AtomicData to ASE Atoms. Using Python and leveraging expertise in data conversion and GPU computing, Recisic ensured that data was properly moved from CUDA devices to the CPU before conversion, preventing dtype and device errors in production workflows. They also implemented targeted regression tests to validate the CUDA data path, enhancing test coverage and error traceability. This work demonstrated careful attention to stability and maintainability in complex, GPU-driven scientific computing environments.