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Engineering Manager at Animaj
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
National University of Singapore
Master's degree, Computer Science
January 1, 2016 – January 1, 2017
Lycée Sainte Geneviève
Mathematics and physics
January 1, 2012 – January 1, 2014
Lycée Saint François d'Assise
French Baccalauréat, Science (Mathematics, physics, engineering sciences), Highest honors
January 1, 2009 – January 1, 2012
Animaj
Engineering Manager
June 1, 2025 – Present
Animaj
Engineering Lead
December 1, 2024 – June 1, 2025
Animaj
Senior Machine Learning Engineer
March 1, 2024 – December 1, 2024
Contentsquare
Transversal Tech Lead - Data Science
January 1, 2022 – March 1, 2024
Paris, Île-de-France, France
Contentsquare
Data Scientist
July 1, 2021 – January 1, 2022
Paris, Île-de-France, France
UpStride
AI Engineer
March 1, 2020 – July 1, 2021
Paris, Île-de-France, France
Fujitsu France
Data Scientist
September 1, 2017 – March 1, 2020
Greater Paris Metropolitan Region
ViSenze - Artificial Intelligence for the Visual Web
AI R&D Intern
May 1, 2017 – July 1, 2017
Singapore
Arctan Analytics
Data Science Intern
March 1, 2017 – May 1, 2017
Singapore
Centrale Paris - Robotic Club
President
January 1, 2015 – January 1, 2016
Paris
Centrale Paris - Robotic Club
Developer
January 1, 2014 – January 1, 2015
Paris
Centrale Paris - VIA
System Administrator
January 1, 2014 – January 1, 2016
France
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on Machine Learning and Data Science, with recent roles in management. While there is early experience in a Robotic Club and some mention of C++/CUDA for implementation, the primary professional experience is not directly in embedded systems. The transition from individual contributor to leadership roles within ML/AI suggests adaptability and growth. However, the lack of recent, explicit embedded systems projects or roles indicates a potential gap in direct cultural fit for a dedicated Embedded Systems Engineer role, requiring a significant pivot from their established career path. The candidate's education in Computer Science, Mathematics, and Physics provides a strong theoretical foundation.
Soft Skills & Operational Fit
The candidate's progression into leadership roles (Engineering Lead, Engineering Manager) and experience as a Transversal Tech Lead suggests strong organizational, mentorship, and cross-functional collaboration skills. The description of facilitating and speeding up data scientists' work implies a focus on process improvement and tool development, which are valuable operational traits. Participation in a Robotic Club also indicates teamwork and problem-solving in a practical context.