Jean Laroche
Principal Algo Engineer at Universal Audio
California, United States
Summary
🤩
Rockstar🎓
Top SchoolJean Laroche is a Principal Algorithm Engineer and audio/speech signal processing specialist with a Ph.D. in Signal Processing and over 30 years of experience spanning academia, research labs, and industry. Based in California, he has led algorithm development for music and speech products at Universal Audio, Audience/Knowles, and Creative Labs, blending rigorous mathematics with pragmatic C/C++ and Python implementations. His work ranges from real-time DSP and audio fingerprinting to noise reduction, keyword spotting and ML-driven speech features, and he has a track record of turning Matlab prototypes into production-ready code and patents. An active open-source contributor, he has implemented FFT and NumPy-related routines in the pythran AOT compiler and improved OFX import robustness in GnuCash, demonstrating both numerical algorithm chops and practical engineering for edge cases. Colleagues praise him for marrying deep technical rigor with musical sensibility—rarely does one find someone equally comfortable with advanced spectral analysis and live-performance audio processing.
9 years of coding experience
22 years of employment as a software developer
Baccalaureat, Baccalaureat at Lycee Francois MauriacÉcole PolytechniquePh.D. Audio Signal Processing, Ph.D. Audio Signal Processing at Télécom ParisPrépa Math and Physics, Prépa Math and Physics at Lycee Montaigne
English, French, Spanish
Github Skills (14)
c1710
fftw10
fft10
c-language10
c1110
cprogramming-language10
python10
numpy10
gui-programming9
data-structure9
gtk9
algorithm9
data-structures9
algorithms9
Programming languages (7)
Github contributions (5)
Gnucash/gnucash
Mar 2020 - Jan 2022
GnuCash Double-Entry Accounting Program.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 reviews, 20 commits, 43 PRs in 1 year 10 months
Contributions summary:Jean primarily contributed to the GnuCash project by fixing bugs and implementing features related to importing financial data, specifically OFX files. Their work included modifying the OFX importer to handle transfers between accounts and addressing issues related to missing financial identifier (FITID) fields. They also worked on improving the matching process, including adding the ability to edit descriptions, memos, and notes directly from the import window, improving the user experience, and preventing crashes by handling edge cases.
gnucash
serge-sans-paille/pythran
Apr 2018 - Jan 2022
Ahead of Time compiler for numeric kernels
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 reviews, 25 commits, 30 PRs in 3 years 10 months
Contributions summary:Jean implemented several functions within the `pythran` repository, specifically focusing on numerical kernels and FFT (Fast Fourier Transform) routines. They contributed by implementing `numpy.fft.rfft` and `numpy.fft.irfft` functions, and also added `numpy.stack` and `numpy.expand_dims` functionality. Furthermore, they fixed bugs, optimized code, and implemented `tofile` and `fromfile` functions.
compiler
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