Julia Pineda enhanced the analogdevicesinc/pyadi-iio repository by developing a configurable spectral analysis windowing feature for the DDS loopback path. She introduced an optional useWindow hook, enabling the controlled application of a Kaiser window before FFT operations, which improves the accuracy of frequency-domain measurements. Julia expanded the Python-based test suite to validate windowed spectral estimation and ensure correct scaling behavior across multiple test cases. Her work focused on Python development and signal processing, emphasizing robust unit testing. By closing a key capability gap, Julia’s contributions deepened the library’s measurement fidelity and established a foundation for more reliable spectral analysis workflows.