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AI Engineer with 10+ years in Machine Learning & Computer Vision
Yacine Mezali is an accomplished R&D Engineer and Senior Data Scientist with 17.6 years of extensive experience in developing and optimizing complex algorithms for predictive maintenance, image classification, time series forecasting, and decision-making systems. Specializing in machine learning, deep learning, and computer vision, Yacine has a strong background in leading data annotation campaigns, evaluating CNN robustness, and enhancing database intelligence using NLP. With a PhD in Computer Science, Yacine has a proven track record of delivering high-accuracy models and managing R&D projects across various industries.
Paris 6, Pière et Marie Curie
Phd · Computer science
August 1, 2008 – June 30, 2012
Versailles University
Master2 · Computer science
August 1, 2006 – June 30, 2007
KONTRON
senior data scientist
January 1, 2025 – May 1, 2025
Montigny-le-Bretonneux, Île-de-France, France
CGI
senior data scientist/computer vision engineer
June 1, 2024 – December 1, 2024
Paris, Île-de-France, France
LNE
senior data scientist/computer vision engineer
August 1, 2023 – December 1, 2023
Trappes, Île-de-France, France
yele consulting
Data scientist/Operations Research scientist
January 1, 2022 – December 1, 2023
Nanterre, Île-de-France, France
IRT SystemX
Data Scientist
January 1, 2018 – December 1, 2022
Saclay, Île-de-France, France
Akka chez Safran
Senior software Engineer
January 1, 2017 – December 1, 2018
Cergy, Île-de-France, France
Akka/ Solystic
Data scientist
January 1, 2015 – December 1, 2017
Bagneux, Île-de-France, France
Addinsoft
Statistician/Programmer RD
January 1, 2013 – December 1, 2015
Paris, Île-de-France, France
Novaspark
Software Engineer
January 1, 2012 – December 1, 2013
Paris, Île-de-France, France
INRIA
Research Engineer
January 1, 2008 – December 1, 2012
Rocquencourt, Île-de-France, France
Variational Inequality for n-Player Strategic Chance-Constrained Games. SN Comput. Sci. 4(1): 82 (2023)
Unknown
January 1, 2023 – Present
Optimization of Adaptive Cruise Control under Uncertainty Optimization of Adaptive Cruise Control under Uncertainty ICORES
Unknown
April 14, 2022 – Present
Design of a new measurable approach for the qualification of the behaviour of an autonomous vehicle ECC 2022
Unknown
January 1, 2022 – Present
Nonlinear Complementarity Problems for n-Player Strategic Chance-constrained Games. ICORES 2022: 94-104
Unknown
January 1, 2022 – Present
On indoor wifi signal statistical properties IEEE WMNC 2011
IEEE WMNC
October 1, 2011 – Present
A path tracking Algorithm using the IEEE 802.11 IEEE MedHocNet1
IEEE MedHocNet1
June 1, 2011 – Present
Cultural Fit Analysis
The candidate's diverse work history across various companies (KONTRON, CGI, LNE, yele consulting, IRT SystemX, Akka, Addinsoft, Novaspark, INRIA) and project types (railway telecommunications, medical imaging, business forecasting, electrical grid optimization, autonomous vehicles, postal sorting, financial data parsing) demonstrates adaptability and a broad interest in applying AI across different industries. The academic background (PhD) and research experience (INRIA, publications) suggest a strong inclination towards continuous learning and contributing to the scientific community, which is a good fit for an innovative and research-driven culture. The mentoring experience also indicates a willingness to share knowledge and foster team growth.
Soft Skills & Operational Fit
The candidate's resume indicates experience in mentoring trainees and leading projects, suggesting good communication and leadership skills. The diverse project experience across different companies and domains implies adaptability and a collaborative mindset. The research background and publications point to a strong problem-solving aptitude and a drive for innovation, which aligns well with an R&D-focused AI Engineer role.