Amazon
Software QA Engineer, Audio
Audio Tech | Deep Learning | NYU '22
San Mateo, CA
Graduate student at NYU, specializing in deep learning, spatial audio, and software engineering. Currently developing a number of projects, with a particular focus on content-based information retrieval and XR experiences.
Software QA Engineer, Audio
Internship utilizing full audio stack in the development of audio, acoustics, and machine learning tools for the next generation of IoT devices.
Master's in Music Technology, May 2022
GPA: 4.0/4.0
Classes included Machine Learning, Music Information Retrieval,
3D Audio, and Digital Signal Theory.
Coordinated production and implementation of over 40 hours of unique audio content for the popular iOS and Android sound meditation app – twice Apple’s “App of the Day”.
Contribute to numerous open-source projects, with a particular focus on information retrieval.
Co-wrote, engineered, produced, and mixed over 800 projects for more than 100 artists, including Grammy and Latin Grammy Award nominees.