Resume

Étienne Paul André - Audio/DSP & Embedded Engineer

eti.andre@gmail.com / (+33) 6 51 23 64 89 / https://etiand.re

Based in Paris, France, I am an Audio/DSP & Embedded Engineer with a strong focus on Research and Development. Passionate about advancing audio technology through innovative algorithms and applications in the fields of audio processing and/or embedded systems.

Languages: French (Native), English (Fluent), Italian (Basic)

An up-to-date resume is available at https://etiand.re/resume

Skills

Expertise:
- Digital Signal Processing (DSP): Classic algorithms, ML techniques, Real-time audio applications, Music Information Retrieval, Analysis & Synthesis, Practical experience in creating electronic music
- Embedded Systems: Automotive platforms, RTOS, Multi-threaded environments
- Linux/UNIX Environments: Development, Administration, Scripting, Deployment
Programming Languages: C, C++, Python, Matlab, Rust, Bash, LaTeX, Typst…
Frameworks and Libraries: Qt, Pytorch, Numpy, GStreamer, OpenCV, libAV
Platforms: Linux, Android, QNX, Windows
Development Tools: Git, CMake, Docker, Continuous Integration/Continuous Deployment (CI/CD)

Education

2023-2024: Master’s degree; IRCAM / Sorbonne Université, Paris, France
Specialization: Signal Processing, Computer Science and Acoustics applied to Music (ATIAM)
2016-2020: Master’s degree in Engineering; Télécom SudParis, Institut Polytechnique de Paris, Évry-Courcouronnes, France
Specialization: Embedded systems, Mobility and Communicating objects (SEM)

Experience

2024

Internship / Automatic DJ Mix Transcription; IRCAM, ISMM, STMS, Paris, France

MIR, NMF, Python, CPU/GPU, Pytorch

Submitted a scientific publication to a major international conference (pending acceptation).
Explored a novel matrix-based symbolic representation for DJ mixes.
Designed a novel algorithm based on Non-negative Matrix Factorization for DJ mix transcription.
Efficiently implemented the algorithm for CPU and GPU using sparse matrix data structures.
Studied and proposed new DJ Music Information Retrieval datasets.
Implemented an optical tracking technique for measurement of a record’s rotation speed.
Reverse-engineered the data format of Ableton Live project files and implemented a data extraction tool.

2021 - 2023

DSP and embedded engineer; Arkamys, Paris, France

C, C++, Qt, Matlab, Python, Linux, DSP, GStreamer, QNX

Maintained and developed new features on an automatic automotive audio experience optimizer.
Ported complex DSP algorithms on embedded devices with automotive constraints (Qualcomm, NXP).
Led task forces and worked directly with international clients.
Implemented a low-latency audio effect stack for Android applications.
Designed and implemented real-time GStreamer pipelines and applications.
Improved the embedded Linux development environment and deployment procedures.
Prototyped and developed complex multi-platform audio applications.

2020

Internship / Evaluation of smartphone audio performance; DXOMark, Boulogne-Billancourt, France

Python, Qt, DSP, Android

Designed and implemented a performance evaluation method for the dynamic audio performance of smartphones.
Automated and simplified the audio test protocol through the creation of various scripts and graphical interfaces.

2019

Internship / DUF: Dynamic Uncore Frequency scaling to reduce power consumption; Télécom SudParis, Institut Polytechnique de Paris, Évry-Courcouronnes, France

C, Linux, distributed systems

Implemented the DUF algorithm as a low-level C daemon.
Extensively studied Intel CPU quirks and behaviors.
Conducted experiments on the performance of the algorithm on massively distributed clusters.
Participation in the project led to a scientific publication.