
Aashiq developed FFT shift operations for the ml-explore/mlx repository, implementing both fftshift and ifftshift functions with axis specification and robust handling for even and odd-length spectra. Using C++ and Python, Aashiq focused on numerical computing and signal processing to ensure the core functionality accurately shifted zero-frequency components for improved spectral visualization and downstream algorithm support. Comprehensive tests were written to validate correctness across axes and length parities, and documentation was updated to guide users and developers. The work demonstrated depth through careful handling of edge cases and thorough testing, resulting in a reliable foundation for spectral data processing workflows.
April 2025: Delivered FFT Shift Operations to mlx (fftshift and ifftshift) with axis specification and robust handling for both even and odd-length spectra. Implemented core functionality, added comprehensive tests, and updated documentation to support reliable spectral processing, improved visualization alignment, and foundational support for downstream spectral algorithms.
April 2025: Delivered FFT Shift Operations to mlx (fftshift and ifftshift) with axis specification and robust handling for both even and odd-length spectra. Implemented core functionality, added comprehensive tests, and updated documentation to support reliable spectral processing, improved visualization alignment, and foundational support for downstream spectral algorithms.

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