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Lead Machine Learning Engineer @ Incubit Inc. | Master's in Artificial Intelligence & Mechanical Engineering
I graduated from a master’s degree in computer science at the Pierre and Marie Curie University (UPMC). This master is specialized in artificial intelligence and decision making. It is a domain that interest me a lot and that I discovered through my investment in robotics. I am especially interested in real-world problems, to give the possibility to computer to handle various kind of high dimensional data. I am currently working as Machine Learning Engineer.
ARC academy
Japanese Language School
January 1, 2015 – January 1, 2016
Pierre and Marie Curie University
Master's degree, Computer Science : Artificial intelligence
January 1, 2014 – January 1, 2015
Polytechnique Montréal
Exhange semester, Mechatronics, Robotics, and Automation Engineering
January 1, 2013 – January 1, 2014
ENSMM
Master of Engineering (M.Eng.), Mechatronics, robotitics and automation
January 1, 2011 – January 1, 2014
Pothier
Classes Préparatoire aux Grandes Ecoles, Maths - Physics
January 1, 2009 – January 1, 2011
Incubit Inc.
Lead Machine Learning Engineer
November 1, 2016 – Present
Tokyo, Japon
Seltech Corporation
Machine Learning Engineer
April 1, 2016 – November 1, 2016
Tokyo, Japon
Tokyo University of Agriculture and Technology
Visiting Researcher - GV lab
May 1, 2015 – September 1, 2015
Dans les 23 arrondissements de Tokyo, Japon
Tokyo Denki University
Internship - Cooperative Robotics Laboratory
March 1, 2014 – August 1, 2014
Tokyo, Japon
Valeo
Internship - R&D center
September 1, 2012 – February 1, 2013
Région de Limoges, France
Markov Decision Process Project
November 1, 2015 – Present
Implementation of MDP to resolve problem of less cost trajectory under uncertainty.
Unity Game
December 1, 2014 – Present
Implementation of an game on unity focused on AI.
MORSE decoder
November 1, 2013 – Present
Implementation of a Morse decoding system on a Cortex-M4F.
Machine Learning Engineering for Production (MLOps)
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse educational background across multiple institutions and countries (France, Canada, Japan), indicating adaptability and exposure to different environments. Project diversity (MDP, Unity Game, MORSE decoder) also suggests a broad interest in technical challenges. The career progression from Machine Learning Engineer to Lead Machine Learning Engineer shows ambition and growth. The target role of 'Data Analyst' is a slight pivot from 'Machine Learning Engineer', but the underlying skills in data processing and analysis are transferable.
Soft Skills & Operational Fit
The candidate's experience in lead and research roles suggests potential for problem-solving and independent work. However, without psychometric test results or interview data, it is difficult to assess soft skills like teamwork, communication, or stress handling.