Ayoub Malek
Audio Signal Processing Developer at Huawei
Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolAyoub Malek is an Audio Signal Processing Developer with 10 years of experience, holding an MSc in Electrical Engineering & Information Technology from TUM and currently building audio solutions at Huawei. He combines machine learning, signal processing, and embedded security expertise to deliver practical systems—from speech emotion recognition and speaker verification to automatic audio quality estimation. A hands-on engineer who prefers theory married to implementation, Ayoub has contributed to the widely used librosa library by improving MFCC inversion routines, highlighting his attention to numerical robustness in audio feature work. His background spans industry and research (including a compressed-sensing based master’s project on 5G antenna diagnostics), and he brings pragmatic tooling and automation skills alongside a taste for coffee-fueled coding.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering and Information Technology, Bachelor of Science - BS, Electrical Engineering and Information Technology at Technical University MunichDSH, Intensive German Course, DSH, Intensive German Course at Heidelberg UniversityHigh school Diploma with Technical Focus, High school Diploma with Technical Focus at Lycée Pilote de Monastir, Tunisia
Arabic, French, German, English
Stackoverflow
2,928reputation
262kreached
121answers
16questions
scipy
top-5%
python
top-5%
Github Skills (19)
scipy10
dspic10
python10
numpy10
audio10
librosa10
dspace10
machine-learning8
testing7
algorithm7
algorithms7
data-structure7
data-structures7
optimization6
scikit-learn6
Programming languages (12)
Github contributions (5)
librosa/librosa
Oct 2019 - Dec 2019
Python library for audio and music analysis
Role in this project:
Data Scientist
Data ScientistContributions:18 commits, 5 PRs, 14 comments in 2 months
Contributions summary:Ayoub contributed to the `librosa/librosa` repository by implementing and refining the `mfcc_to_mel` and `mfcc_to_audio` functions, which are crucial for audio feature extraction and inversion. The commits focused on adding inverse liftering support, documentation, and fixing errors related to shape mismatches and potential numerical instabilities. This involved debugging and testing the functions, ensuring proper functionality and handling of edge cases to improve the robustness and accuracy of audio analysis capabilities.
python-librarydtwpythonlibrosaaudio
SuperKogito/urlchecker-python
Apr 2020 - Jul 2022
:snake: :link: Python module and client for checking URLs (under development)
Contributions:1 PR, 26 pushes, 9 branches in 2 years 3 months
urlspythonsnakecheckingpython-module
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