Martin Cuenot
Supply Chain Commissioner at Excellence industrielle Saint-Laurent
Montreal, Quebec, Canada
Summary
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Senior🎓
Top SchoolMartin Cuenot is a supply chain and industrial engineering specialist with a decade of hands-on experience optimizing processes across heavy industries, from nuclear power sites to underground mining operations. Currently completing a research master's at Polytechnique Montréal, he blends continuous improvement methods (5S, Kaizen, SMED) with data-driven tools—Python, SQL and dashboards—to turn field operations into measurable performance gains. His background spans telemetry analytics, anomaly detection in vehicle fleets, and building collaborative tools that sit at the intersection of operations and digital transformation. As Supply Chain Commissioner at Excellence industrielle Saint-Laurent, he advises companies on local sourcing and end-to-end supply chain optimization. Known for adapting industrial reliability practices to strict technical environments, he brings both shop-floor credibility and analytical rigor to consulting and industry projects. Curious and pragmatic, he often translates complex operational behaviors into simple comparative metrics that drive faster, evidence-based decisions.
10 years of coding experience
Maîtrise Recherche - Génie Industriel - Valorisation de données industrielles, Génie industriel, Maîtrise Recherche - Génie Industriel - Valorisation de données industrielles, Génie industriel at Polytechnique MontréalScientific Baccalaureate - Equivalent to A-level, Scientific Baccalaureate - Equivalent to A-level at Lycée de la Plaine de l'Ain (Highschool)Engineering Degree, Industrial Engineering, Engineering Degree, Industrial Engineering at INSA Lyon - Institut National des Sciences Appliquées de Lyon
Spanish, English, French, German
Github Skills (7)
generative-ai10
python9
discounts8
docker-image7
docker6
zabbix6
monitoring5
Programming languages (4)
Github contributions (5)
mart123p/wordpress-form-lightbox
Jul 2016 - Sep 2018
Contributions:2 commits, 2 pushes, 1 branch in 2 years 1 month
mart123p/PyRIT
May 2024 - Mar 2025
The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems.
Contributions:50 pushes, 4 branches in 10 months
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