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Technology and Business Leader in AI
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I like solving hard technical and organizational problems related to machine learning, data science, and data engineering – broadly called AI. I have been working in data intensive and machine learning systems engineering for 15+ years, and I am interested in roles that involve hands-on leadership, working with new technologies, and helping customers.
Pierre and Marie Curie University
Master's degree, Theoretical Mathematics, Number Theory and Algebraic Geometry
September 1, 2011 – July 1, 2012
École Polytechnique
Programme d'Echange International, Mathematics
January 1, 2008 – January 1, 2009
Massachusetts Institute of Technology
Bachelor of Science (BS), Mathematics
January 1, 2006 – January 1, 2010
Sage
Head of Global Sage AI Business Unit
March 1, 2025 – Present
Sage
Director of AI and Machine Learning
May 1, 2022 – May 1, 2025
Sage
Architect, Machine Learning
December 1, 2020 – June 1, 2022
Sage
Sr. Principal Machine Learning Engineer
July 1, 2020 – December 1, 2020
Covid Act Now
Data Scientist
May 1, 2020 – June 1, 2020
San Francisco Bay Area
FLYR
Senior Manager of Engineering -- Machine Learning Platform and Operations
September 1, 2019 – May 1, 2020
San Francisco
Squelch
Manager of Machine Learning and Data Science
April 1, 2018 – August 1, 2019
San Francisco Bay Area
Apteligent (acq. VMW)
Senior Manager - Data Science and Engineering
May 1, 2017 – October 1, 2017
San Francisco Bay Area
Apteligent (acq. VMW)
Manager of Analytics and Data Science
May 1, 2015 – April 1, 2017
San Francisco Bay Area
Apteligent (acq. VMW)
Senior Data Engineer - Team Lead
May 1, 2014 – April 1, 2015
San Francisco Bay Area
Apteligent (acq. VMW)
Data Scientist and Engineer
May 1, 2013 – April 1, 2014
San Francisco Bay Area
BonitaSoft
Engineer
September 1, 2012 – May 1, 2013
San Francisco Bay Area
Institut de Mathématiques de Jussieu
Mathemagician
September 1, 2011 – July 1, 2012
Paris
Orange
Research Associate
June 1, 2010 – June 1, 2011
Greater Paris Metropolitan Region
MIT
Editor and contributor
January 1, 2008 – January 1, 2008
Cambridge
Cultural Fit Analysis
The candidate's career progression within Sage, coupled with experience at other companies like FLYR and Squelch, shows adaptability and a commitment to the AI/ML domain. Their volunteer work at Covid Act Now demonstrates a civic-minded approach and ability to apply skills to diverse problems. The academic background in theoretical mathematics suggests a strong foundation in problem-solving and analytical thinking, which is valuable in a research-heavy ML environment. The breadth of roles from individual contributor to senior leadership indicates a versatile professional who can operate at multiple levels.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and management capabilities, having progressed from individual contributor to Head of Global AI Business Unit. Their experience in managing engineering and data science teams suggests strong operational fit and ability to drive projects from conception to production. The description of deploying 20+ AI services and making 20 million daily predictions indicates a results-oriented and scalable approach. The focus on AI ethics, data privacy, and governance highlights a responsible and strategic mindset.