Pilar Gallegos is a Senior Machine Learning Researcher with nine years’ experience specializing in deep learning for speech synthesis and text-to-speech, currently leading TTS research at Huawei’s Amsterdam R&D centre. She earned a PhD from the University of Edinburgh for work on leveraging local linguistic context in TTS and has translated that research into production features—most notably technical leadership on Spanish voice work for Spotify’s AI DJ. Her background spans industry and academia, from building voices at Sonantic and BBC projects to applied work with Alexa at Amazon, giving her rare end-to-end expertise from phonetics and dataset annotation to neural model development and deployment. Multilingual and trained in linguistics, she combines phonetic insight with robust Python and ML engineering skills to create more natural, language-aware synthesis.
9 years of coding experience
4 years of employment as a software developer
Master of Science (MSc) Candidate Speech and Language Processing, Master of Science (MSc) Candidate Speech and Language Processing at The University of Edinburgh
Diploma Teaching Spanish as a Second Language, Diploma Teaching Spanish as a Second Language at Pontificia Universidad Católica de Chile
Contributions:34 commits, 29 pushes, 1 branch in 1 month
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