Jean-Francois Puget
Frontend DeveloperAI 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
Director and Distinguished Engineer, Competitive Machine Learning at NVIDIA, 6x Kaggle Grandmaster CPMP
Not looking for job, and certainly not looking for relocation 25+ years of experience in delivering market leading, innovative software on time and under budget. Data scientist by trade. Currently managing KGMON (Kaggle Grand Masters of NVIDIA) team, and Kaggle Grand Master myself (@CPMP). Skilled in managing highly skilled and rightfully demanding developers and scientists. Works very well across organization and cultures. World class expertise in mathematical optimization and constraint programming. Machine learning PhD. Has published over 70 scientific papers in refereed journals and international conferences with peer reviews, including top AI conferences like IJCAI, and AAAI. Good programming skills (C++, C, Python)
Paris-Sud University (Paris XI)
PhD, Machine Learning
January 1, 1986 – January 1, 1990
Ecole normale supérieure
Mathematics and Computer Science
January 1, 1981 – January 1, 1986
NVIDIA
Director and Distinguished Engineer
February 1, 2020 – Present
Nice area, France · Remote
IBM
Distinguished Engineer, Machine Learning, Optimization
July 1, 2016 – February 1, 2020
Greater Nice Metropolitan Area
ILOG
Vice President Optimization R&D
April 1, 2000 – June 1, 2009
ILOG
Various R&D positions
January 1, 1989 – January 1, 2000
Cultural Fit Analysis
The candidate's background is heavily focused on Machine Learning, Optimization, and R&D leadership, which is a significant mismatch for a 'Frontend Developer' target role. While their experience demonstrates strong technical leadership and innovation, the specific domain and responsibilities are not aligned with typical frontend development requirements. The lack of frontend-specific projects or skills in their resume further highlights this misalignment. Their career trajectory suggests a preference for deep technical research and leadership in specialized backend/ML domains rather than user interface development.
Soft Skills & Operational Fit
The candidate's extensive leadership roles and history of creating and managing complex R&D initiatives suggest strong leadership, strategic thinking, and problem-solving skills. Their long tenure at ILOG, progressing from R&D positions to VP, indicates strong dedication and operational effectiveness. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.