Pablo Jiménez
Postdoctoral Researcher at Music Technology Group
Barcelona, Catalonia, Spain
Summary
🤩
Rockstar🎓
Top SchoolPablo Jiménez is a postdoctoral researcher and developer with a decade of experience building signal processing and deep learning solutions for music information retrieval at the Music Technology Group in Barcelona. He bridges academic rigor and production engineering, contributing core C++ and Python work to the widely used Essentia library—fixing low-level FFT/IFFT issues, adding tensor support, and laying groundwork for neural pitch detection like CREPE. His PhD in Information and Communication Technologies complements hands-on expertise in real-time model integration, segmentation, beat-tracking and key detection. Pablo has a strong telecommunications and sound-computing foundation from Universidad de Vigo and UPF, and internships at industry labs such as Yamaha and Voctro shaped his applied audio synthesis skills. Colleagues value him for translating research prototypes into robust, maintainable code that runs in both research and production contexts. An often-overlooked strength is his attention to low-level numerical correctness (scaling and frequency mapping) that materially improves downstream audio analysis reliability.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Telecommunications Engineering, Bachelor's degree, Telecommunications Engineering at Universidad de VigoDoctor of Philosophy - PhD, Information and Communication Technologies, Doctor of Philosophy - PhD, Information and Communication Technologies at Universitat Pompeu Fabra
Spanish, English
Github Skills (11)
algorithm10
numerical-optimization10
code-optimization10
algorithms10
c-language10
cprogramming-language10
optimisation10
linear-algebra10
optimization10
signal-processing9
tensorflow7
Programming languages (9)
Github contributions (5)
MTG/essentia
Feb 2017 - Aug 2022
C++ library for audio and music analysis, description and synthesis, including Python bindings
Role in this project:
Backend Developer
Backend DeveloperContributions:29 reviews, 530 commits, 100 PRs in 5 years 6 months
Contributions summary:Pablo made several revisions to the IFFT calculation by correcting the scale factor and fixing the mapping of frequencies. They also made changes to the frequency window settings within the NSGConstantQ algorithm and adapted the use of a newly developed Hann window. Additionally, the user added support for handling and processing tensors and implemented the foundation for a new algorithm, the CREPE.
pythoncppc-librarymidipython-bindings
palonso/MAEST
Aug 2023 - Feb 2025
Pre-training, fine-tuning, and inference code with the MAEST models for music analysis applications.
Contributions:2 PRs, 40 pushes, 1 branch in 1 year 6 months
audio-processingdeep-learningmirtransformers
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.