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Fernando Garcia de la Cruz
Barcelona, Spain | fergarciadlc@gmail.com
🌐 fergarciadlc.github.io | 🐙 GitHub | 💼 LinkedIn
Work Experience
Dolby Laboratories
Software Developer - Entertainment Tech | Internship
March 2025 – August 2025
- General C++ software engineering
- C and C++ libraries for audio and signal processing for internal use
- Audio Plugins development
- Internal research projects using AI models
- Volunteering
Music Technology Group - UPF
Research Assistant - Audio Developer | Internship
May 2025 – Present
- Integrated Essentia library in audio plugins for real-time processing using the JUCE framework
- Developed essentia-plugins repository
- Created multiple audio analysis plugins with CMake and Projucer build systems
Ear Candy Technologies
Audio Developer – DSP Engineer
August 2022 – March 2025
Globant
Python-Data Engineer – Data & Artificial Intelligence Studio
September 2021 – September 2024
Everis
Python Engineer – Data & Analytics
January 2021 – September 2021
Education
MSc Sound and Music Computing
Universitat Pompeu Fabra, Music Technology Group
September 2024 – 2026
Barcelona, Spain
BS in Electronics and Communications Engineering
Instituto Politécnico Nacional (ESIME)
Speciality in Acoustics
January 2015 – November 2019
Mexico City, Mexico
Publications
From Words to Sound: Neural Audio Synthesis of Guitar Sounds with Timbral Descriptors
September 2022
The Sound of AI Community (3rd author)
Presented at the 3rd Conference on AI Music Creativity (AIMC 2022)
DOI: 10.5281/zenodo.7088416
Selected Projects
Personal Open Source projects can be found in my GitHub and portfolio.
Essentia Plugins | May 2025 – September 2025
Developed essentia-plugins, a set of audio plugins using the Essentia library and the JUCE Framework.
The Sound of AI Community Projects | July 2022 – July 2023
Multiple roles in The Sound of AI community initiatives including: Assistant Director for the first Accelerator program (startup program in music-audio-AI), organizer and participant in the 1st Hackathon where I developed Modelizer (real-time audio processing VST), and contributor to the Open Source Research project with 200+ community members, co-authoring the published neural synthesis research.
Selected Open Source Projects (Music Technology): Orbit, Harmonic Playlist, Mictlan, Amaranth, gentone, FFT-conv-decv.
Conferences and Talks
🎤 Speaker: Audio Developer Conference 2024 | November, Bristol, UK
Talk: “Rock-Solid Releases” about CI/CD for Audio Plugins
🎥 Watch on YouTube
Socios Formadores (ITESM) | August 2023
Participated with Ear Candy Technologies in workshops on JUCE for the program “Socios Formadores” at Tecnológico de Monterrey (campus Mexico City and Puebla).
Expoacustica 2023 (IPN) | May 2023
Presented a workshop and a conference on Audio Plugins with Ear Candy Technologies at IPN’s Expoacustica 2023.
Mexsynthco 2023 | September 2023
Presented Amaranth (an open-source synth) with Ear Candy Technologies.
Ear Candy Meetings 2022
Delivered a talk on using the Spotify API to generate style- and key-based playlists from a reference song: video link.
Additional Experience
Teacher Assistant | 2025 - present
MTG-UPF - Barcelona
Generative Music AI workshop.
Ciencia desde Cero | August 2017 – January 2023
Scientific Communicator
Guit-Art Music School | November 2013 – June 2019
Guitar Teacher and Audio Engineer
Technical Skills
Category | Technologies & Tools |
---|---|
Audio/DSP Development | JUCE (C++), Essentia, Pure Data, Matlab |
Programming Languages | Python, C/C++, Go, CMajor, Matlab |
Machine Learning | scikit-learn, TensorFlow, Keras, Librosa |
Data Engineering | Apache Beam, Airflow, Kafka, Spark (PySpark) |
Data Analysis | NumPy, Pandas, SciPy, OpenCV |
Data Visualization | Matplotlib, Seaborn, Plotly, Cufflinks |
Cloud & DevOps | GCP, Docker, Travis CI, Jenkins, Kubernetes |
Databases | SQL (Postgres, MySQL, BigQuery), NoSQL (MongoDB) |
Web & API | HTML, CSS, JavaScript, Flask, Django, FastAPI |
AI Tools | ChatGPT, DALL-E, Midjourney, Stable Diffusion |
Languages
English (Fluent - Professional Proficiency)
Spanish (Native)