Anis Khlif is a Senior Engineering Manager based in Paris with 12 years of experience building and scaling machine learning and acoustic modeling systems for music and voice products. He progressed from R&D roles at Deezer to senior ML and management positions at SoundHound AI, combining hands-on signal-processing expertise with team leadership and product delivery. His background includes state-of-the-art research in automatic music transcription and practical engineering work packaging speech recognition toolchains for modern Python workflows. Comfortable across research and production, he bridges algorithm design, ML engineering, and managerial execution to ship robust audio intelligence. Notably, he brings a research-minded approach to product engineering, turning competitive MIREX-grade algorithms into deployable features.
Python code for reproducing music genre translation experiments presented in the paper Leveraging knowledge bases and parallel annotations for music genre translation ISMIR 2019.
Contributions:5 commits, 1 PR, 6 pushes in 5 months
Contributions:12 pushes, 1 branch in 2 years 9 months
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Anis Khlif - Senior Engineering Manager at SoundHound AI