Zulfadhli Mohamad

Senior Machine Learning Engineer at Rotor Videos

Zulfadhli Mohamad's work experience begins in 2010 as a Researcher (Undergraduate Student) at Brunel University London. Zulfadhli later worked as a Researcher (Master student) at the same university from 2011 to 2012. In 2014, they joined Queen Mary University of London as a Researcher (PhD Student), focusing on estimating performance parameters from electric guitar recordings. During their time there, they also served as a Teaching Assistant, supervising laboratory sessions and providing feedback to students. In 2018, Zulfadhli joined Rotor Videos as a Machine Learning Engineer. Their responsibilities included researching and developing Music Information Retrieval algorithms, designing and maintaining machine learning models, developing recommendation systems, and collaborating with cross-functional teams to efficiently deliver products to users.

Zulfadhli Mohamad's education history begins in 2007 when they attended Universiti Kuala Lumpur and obtained a foundation degree in Engineering. Zulfadhli then continued their education at Brunel University London from 2009 to 2012, where they earned a Master of Engineering (MEng) in Electrical and Electronics Engineering. Zulfadhli later pursued their Doctor of Philosophy (Ph.D.) in Electronic Engineering at Queen Mary University of London, completing their studies between 2014 and 2018. In April 2018, they also received a Diploma of Researcher Development from Queen Mary University of London.

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Belfast, United Kingdom

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Rotor Videos

Rotor is the next generation music video creation tool. It's been handcrafted by award-winning music video directors, visual artists and creative coding experts. They've found a simple way to put years of industry experience into your hands. Their RotorD engine, professionally designed styles and easy to use Rotor Patchbay will changecreativity and music video production permanently.


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11-50

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