Machine Learning Research Engineer at BandLab Technologies
Singapore
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Summary
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Héctor 何可拓 is a Machine Learning Research Engineer with nine years of experience specializing in the intersection of audio signal processing and ML, currently developing production features like Voice Cleaner, Splitter, and AutoMix at BandLab Technologies in Singapore. He holds an MSc in Advanced Computing from Tsinghua University as a "la Caixa" Fellow and a Bachelor's in Audiovisual Systems Engineering from Pompeu Fabra, blending rigorous academic research with product-focused engineering. His background spans speech enhancement, separation, ultrasound sensing, and music information retrieval, with roles in research labs and industry—most recently contributing ultrasound-based human presence detection at Elliptic Labs. Hector has taught deep learning for music at the postgraduate level and routinely builds dataset and MIR tooling, showing a knack for turning research prototypes into deployable systems. Multilingual and internationally experienced, he leverages cultural fluency (Spanish, Catalan, English, intermediate Japanese and Chinese) to collaborate across global teams. Colleagues value him for bridging signal-processing rigor with practical ML deployment in audio and music products.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Audiovisual Telecommunication Systems Engineering, 8.75/10.00, Bachelor's degree, Audiovisual Telecommunication Systems Engineering, 8.75/10.00 at Universitat Pompeu Fabra
Master's degree, Advanced Computing, 3.74/4.0, Master's degree, Advanced Computing, 3.74/4.0 at Tsinghua University
Spanish, English, Catalan, Japanese, French, Chinese
Contributions:112 commits, 1 push in 1 year 4 months
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Héctor 何可拓 - Machine Learning Research Engineer at BandLab Technologies