Staff AI Scientist | Computer Vision | PhD in Computer Science
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Assessing your cultural and operational fit
- 5+ years of experience in developing and deploying Machine Learning models at scale (millions of end users) - Led and contributed to successful ML projects that improved customer satisfaction and increased revenue - Favors straightforward approaches and incremental improvement, coupled with cross-functional collaboration
Udacity
Machine Learning Engineer
January 1, 2017 – January 1, 2017
Coursera
Andrew Ng's Machine Learning Course Certificate
January 1, 2017 – January 1, 2017
Stanford University
Professional Certificate, Energy Innovation and Emerging Technlologies
January 1, 2017 – January 1, 2017
CentraleSupélec
Doctor of Philosophy - PhD, Computer Sciences
January 1, 2013 – January 1, 2016
The Chinese University of Hong Kong
Exchange program, Project Management and Chinese Culture
January 1, 2012 – January 1, 2012
Télécom SudParis
Master of Engineering (M.Eng.), Information Technology
January 1, 2009 – January 1, 2012
Preparatory Institute for Scientific and Technical Studies (IPEST)
Math Sup/Spe, Mathematics & Physics
January 1, 2007 – January 1, 2009
Thermo Fisher Scientific
Staff AI Scientist
February 1, 2024 – Present
Berlin, Germany · Hybrid
DataMilk
Data Scientist
April 1, 2022 – September 1, 2023
Zalando SE
Applied Scientist
December 1, 2019 – April 1, 2022
Berlin, Germany
RealtyShares
Machine Learning Engineer
November 1, 2017 – December 1, 2018
San Francisco
Télécom SudParis
Teaching Assistant
October 1, 2012 – May 1, 2013
France · On-site
EDF
Research Engineer
October 1, 2012 – September 1, 2016
Greater Paris Metropolitan Region
Fundamentals of Reinforcement Learning
University of Alberta
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Sequence Models
DeepLearning.AI
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
AI for Healthcare
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in AI/ML and data science, which aligns well with data-driven organizations. Their experience spans various sectors (scientific research, e-commerce, fintech), demonstrating adaptability and a broad perspective. The PhD and multiple certifications indicate a continuous learning mindset. However, the target role is 'Data Analyst', while the candidate's experience is heavily skewed towards 'Data Scientist' and 'AI Scientist' roles, which typically involve more advanced modeling and less pure analytical reporting. This might indicate a potential mismatch in day-to-day responsibilities, or an overqualification for a standard Data Analyst role, potentially leading to a lack of engagement if the role doesn't offer sufficient technical depth.
Soft Skills & Operational Fit
The candidate's experience in leading projects, defining research roadmaps, and introducing machine learning concepts to non-technical teams suggests strong leadership, communication, and collaboration skills. Their academic background and research publications also point to strong problem-solving and analytical abilities. The diverse industry experience indicates adaptability.