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    Gabriel Parent

    Machine Learning Engineering Consultant

    Gabriel Parent is a senior Machine Learning specialist with over ten years of experience in the field. He spent six years working on complex ML algorithms within Amazon's retail and music divisions before transitioning to an independent consultant role in 2018. Gabriel's areas of expertise include Speech Processing, Natural Language Processing, Recommendation Systems, and Data Science.

    Gabriel holds a Master of Science in Language Technology from Carnegie Mellon University and a Bachelor of Engineering in Computer Engineering from École Polytechnique de Montréal. He has contributed to various papers and a book on Crowdsourcing for Speech Processing, in addition to delivering presentations at Amazon and public speaking engagements on ML topics.

    As an active member of the tech and academic community, Gabriel Parent has made significant contributions through his work at various organizations, including GPSE Consulting, Amazon, Carnegie Mellon University, Polytechnique Montréal, and Cascades Inc. His project experience and domain knowledge have been key assets in his successful career as a Machine Learning professional.

    Beyond his professional endeavors, Gabriel enjoys a diverse set of hobbies such as sailing, scuba diving, motorcycles, extensive travel, and music. His passion for exploring new experiences and interests outside of work showcases his well-rounded personality and commitment to work-life balance.

    Gabriel Parent
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    Location

    Seattle, Washington, United States