Engineer, musician, and curious mind - hi, I’m Fernando!
I’m a researcher and engineer working on machine learning and signal processing for music and audio applications. My interests range across generative models, music information retrieval, and real-time audio software — with a focus on building practical tools for musicians and producers.
I’m completing an MSc in Sound and Music Computing at the Music Technology Group (MTG), Universitat Pompeu Fabra in Barcelona, following a BSc in Electronics Engineering with a specialty in Acoustics.
Some highlights from my journey:
- Sony CSL Paris — Research Scientist Intern: working on machine learning and signal processing for music and audio applications.
- BMAT Music Innovators — R&D Engineer Intern: research & model development for AI-generated music detection in real broadcast monitoring scenarios, in collaboration with MTG.
- Dolby Laboratories — Software Engineering Intern: contributed to C++ audio libraries, DSP pipelines, and prototyped ML-driven sound analysis tools.
- Audio Developer — At Ear Candy Technologies and MTG, built audio plug‑ins with the JUCE Framework and led essentia‑plugins, a real-time audio analysis toolkit.
- Data Engineering — Designed ETL processes, databases, APIs, and deployed ML models into production.
- Community — Speaker at Audio Developer Conference 2024: Rock-Solid Releases on CI/CD for audio developers. Contributor to several initiatives from The Sound of AI with Valerio Velardo.
Check out my portfolio and feel free to reach out! 😁