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ML @ Yubo | PhD, Deep Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I like to explore new ideas and techniques that can leverage the power of data and artificial intelligence to create positive impact
Sorbonne Université
Doctor of Philosophy - PhD, Computer Science
January 1, 2016 – January 1, 2019
Pierre and Marie Curie University
Master of Science (MSc) - Honor Track, Machine Learning ("Spécialité DAC")
January 1, 2013 – January 1, 2015
Pierre and Marie Curie University
Bachelor of Science (B.Sc.), Computer Science
January 1, 2010 – January 1, 2013
Yubo
Senior Machine Learning Engineer/Researcher
February 1, 2025 – Present
Intelligent Locations
Machine Learning Researcher
September 1, 2019 – March 1, 2025
Greater Paris Metropolitan Region · Hybrid
Laboratoire d'Informatique de Paris 6
PhD Student in Machine Learning
October 1, 2015 – September 1, 2019
Greater Paris Metropolitan Region
Laboratoire d'Informatique de Paris 6
Machine Learning Research Intern
March 1, 2015 – August 1, 2015
Paris
Laboratoire d'Informatique de Paris 6
Machine Learning Research Intern
June 1, 2014 – July 1, 2014
Greater Paris Metropolitan Region
Wisembly
Web Developer Intern
July 1, 2012 – August 1, 2012
Greater Paris Metropolitan Region
Cultural Fit Analysis
The candidate's background is heavily concentrated in academic research and specialized ML roles, primarily in recommendation systems and real-time localization. While this demonstrates deep expertise, the diversity of projects outside of these specific domains is limited. The target role of ML Engineer aligns well with their technical depth, but the breadth of experience across different ML applications or industries is not explicitly detailed. The candidate's experience at Yubo and Intelligent Locations suggests adaptability to different problem spaces within ML, but the overall cultural fit regarding broader engineering practices or diverse team environments is not fully discernible from the provided data.
Soft Skills & Operational Fit
The candidate's resume highlights a strong research background and a focus on complex ML problems, suggesting strong analytical and problem-solving skills. The progression from research intern to Senior ML Engineer/Researcher indicates a capacity for growth and leadership. However, without psychometric test results or interview data, specific soft skills like teamwork, stress handling, or communication clarity in a team setting cannot be fully assessed.