Rayan Elleuch
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.