Research Engineer advancing AI/ML techniques for audio analysis, generation, and interaction, evidenced by publications in leading signal processing and AI conferences. Strong mathematical background and analytical skills, with expertise in using Deep Learning (PyTorch) for audio signal processing and implementing software for research prototypes and real-world audio applications.
Skilled in addressing complex challenges at the intersection of sound, music computing, and user experience. Combines strong analytical and creative problem-solving skills with a deep interest in AI’s potential in music.
Rich experience working with people and companies from many parts of the world. Personal commitment with the creation of enjoyable work environments. Feel very comfortable collaborating and communicating with people with very different backgrounds and roles.
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