Esteban Gómez Mellado

Applied Machine Learning Engineer (Audio Processing) at Voicemod

Esteban Gómez Mellado has a diverse work experience in the field of audio processing and software development. Esteban currently works as an Applied Machine Learning Engineer (Audio Processing) at Voicemod, where they focus on the development of machine learning models for audio processing.

Prior to their current role, Esteban worked at INTORNO LABS as a Software Tool Designer & Developer. Their responsibilities included designing and programming software tools for the company's multidimensional audio technology.

Esteban also served as the Academic and Information Technology Coordinator at Berklee College of Music, where they handled various tasks related to academic and information technology coordination.

In addition, Esteban worked as an Online Max teacher at their own platform, EstebanGomezCL. Esteban provided online instruction in Max/MSP, covering topics such as signal processing, video processing, and audio plugin design and implementation.

As a freelancer, Esteban worked as a Sound Engineer, undertaking projects such as field recording for a short film, FOH engineering for a 3D sound room, and audio and video production for music events.

Esteban also gained experience as a QC Engineer at Reel Audiobooks LLC and as an Assistant Engineer Intern at Elefante Estudio. Furthermore, they worked as an Audiovisual Consultant Intern at Musikeon SLU.

Esteban's earlier roles include being a Music Technology Lab Graduate Assistant at Berklee College of Music and serving as a Software Developer, Touring Artist, and Webmaster for the artistic research project "Project Emovere: Body, sound and movement."

Overall, Esteban Gómez Mellado has a comprehensive background in applied machine learning, software development, audio processing, and music technology.

Esteban Gómez Mellado's education history is as follows:

Esteban Gómez Mellado completed a Doctoral Programme in Electrical Engineering at Aalto University from 2022 to 2026. Prior to that, they obtained a Master's degree in Sound and Music Computing from Universitat Pompeu Fabra in the academic year 2020-2021. Additionally, they pursued a Master of Music degree in Music Production, Technology, and Innovation at Berklee College of Music, from 2016 to 2017. Their undergraduate studies include a Licenciado en Artes con Mención en Sonido (Bachelor's degree with a specialization in Sound) from Universidad de Chile, which they completed from 2010 to 2015.

In addition to their formal education, Esteban Gómez Mellado has obtained several certifications. These include completing the course "Deep Learning with PyTorch: Build a Neural Network" from Coursera in January 2021. Esteban also completed various audio plugin development courses, such as "Output Teaches Creating Audio Plugins with C++ and JUCE," "Advanced Audio Plugin Development," and "Intro to Audio Plugin Development" from Kadenze Inc. in 2019. Other certifications include "Designing RESTful APIs" from Lynda.com in November 2018 and "Test Prep: GRE" from LinkedIn in October 2018. Furthermore, they have acquired skills in various software and applications through certifications such as "Pro Tools: Editing Drums Using Beat Detective and Sound Replacer," "Facebook Marketing: Advertising," "Learning iZotope RX 6," "Finale 2014 Essential Training," "InDesign for UX Design," "Machine Learning & AI Foundations: Recommendations," and "Machine Learning & AI Foundations: Value Estimations," all obtained in 2017.

It is important to note that no specific field of study was provided for the degrees or certifications, so no assumptions can be made about Esteban Gómez Mellado's areas of specialization.

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Timeline

  • Applied Machine Learning Engineer (Audio Processing)

    October, 2021 - present