Sous-préfet D'arrondissement at Ministère de l'Intérieur
Montargis, Centre-Val de Loire, France
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Summary
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Senior
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Narendra Jussien is a senior public administration leader and former engineering school director with 14+ years of executive experience bridging higher education, research in AI, and territorial public policy. After a 25-year academic career as an enseignant-chercheur and director at Institut Mines-Télécom where he led institutional transformation and ISO certification, he joined the prefectural corps in 2021 and now serves as sous-préfet and secrétaire général adjoint, focusing on industry implantation, innovation and France 2030. He combines deep technical expertise in AI and constraint programming (contributor to the choco-solver library) with practical skills in crisis management, economic development and large-scale project coordination such as the national Cigéo program. Fluent in English and conversational in Spanish and Japanese (JLPT N4, N3 in progress), he is known for pragmatic diplomacy, cross-sector negotiation and aligning academic research with territorial impact. He actively seeks multidisciplinary challenges with clear societal stakes and measurable outcomes.
14 years of coding experience
habilitation à diriger les recherches, Computer Science, habilitation à diriger les recherches, Computer Science at Université de Nantes
Thèse de doctorat, Computer Science, Thèse de doctorat, Computer Science at Université de Rennes I
Baccalauréat, Mathématiques, Baccalauréat, Mathématiques at Saint-Martin
DESS MAI, Mathématiques appliquées et Informatique, DESS MAI, Mathématiques appliquées et Informatique at IMA | Institut de Mathématiques Appliqués
An open-source Java library for Constraint Programming
Role in this project:
Back-end Developer
Contributions:13 commits in 1 year 3 months
Contributions summary:Narendra contributed to the Java-based constraint programming library by adding `toString()` methods to several propagator classes, enhancing debugging and explanation capabilities. Further contributions include adding an annotation, likely for static analysis purposes, to a class related to constraint programming and fixing bugs within the view classes. These changes reveal that the user understands the internal workings of the library and focuses on improving its core functionality.
constraint-programmingjavasolvercspcopr
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