Denis Lecoeuche
ML EngineerMachine Learning Engineer / Sound Artist
Freelance
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Engineer / Sound Artist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
INA campus
Master's degree, Music Creation and Sonic Arts, INA GRM
January 1, 2022 – January 1, 2024
Université Gustave Eiffel
Master's degree, Music Creation and Sonic Arts, Computer Music
January 1, 2022 – January 1, 2024
Centrale Lyon
Engineer’s Degree, Computer Science
January 1, 2012 – January 1, 2016
Lycée Lakanal
Classe préparatoire aux grandes écoles, PSI*
January 1, 2011 – January 1, 2012
Lycée Michelet, Vanves
Classe préparatoire aux grandes écoles, PCSI
January 1, 2010 – January 1, 2011
OpenClassrooms
Machine Learning & Data Science Mentor
January 1, 2018 – Present
Remote
Freelance
Machine Learning Engineer, Instructor, Teacher
January 1, 2018 – Present
Remote
CPE Lyon
Machine Learning Instructor
January 1, 2017 – January 1, 2022
Greater Lyon Area · On-site
LIRIS
Machine Learning Research Engineer
January 1, 2017 – January 1, 2017
Lyon Area, France · On-site
Invoxia
Audio & Deep Learning R&D Engineer
May 1, 2016 – September 1, 2016
Greater Paris Metropolitan Region · On-site
LIRIS
Audio & Deep Learning Engineer
January 1, 2016 – March 1, 2016
Greater Lyon Area
CERN
Software Engineer
June 1, 2015 – August 1, 2015
Geneva, Geneva, Switzerland · On-site
Apple
Data Scientist
September 1, 2014 – April 1, 2015
Paris, France · On-site
IBM
Data Science Software Engineer
June 1, 2014 – September 1, 2014
Greater Nice Metropolitan Area · On-site
CEA
Research Assistant
October 1, 2013 – April 1, 2014
Greater Lyon Area · Remote
LMFA (UMR CNRS 5509)
Acoustic Engineer
October 1, 2012 – June 1, 2013
Lyon Area, France
Self-employed
Sound Artist, Musician
January 1, 2012 – Present
Machine Learning
Stanford Online
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background includes significant academic and professional experience in both computer science and music/sonic arts, suggesting a unique blend of analytical and creative thinking. Their freelance and mentoring roles indicate a self-driven and collaborative spirit. The diverse project history, from high-energy physics (CERN) to consumer electronics (Apple) and academic research, demonstrates adaptability and a willingness to engage with varied technical challenges. However, the lack of explicit team project descriptions beyond general roles makes it difficult to fully assess collaboration style or specific cultural alignment beyond technical aptitude.
Soft Skills & Operational Fit
The candidate's extensive experience as a mentor and instructor suggests strong communication and pedagogical skills. Their involvement in research projects indicates a problem-solving mindset and ability to work independently. The variety of roles (research, engineering, teaching) points to adaptability and a broad operational fit within technical teams, especially those focused on R&D or advanced ML applications.