Geoffrey Pruvost

Directeur Technique (CTO) at Diag n'Grow

Lille, Hauts-de-France
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Summary

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Senior
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Geoffrey Pruvost is a CTO and former PhD in computer science with 11 years of experience building AI-driven, full-stack platforms—currently leading technical strategy at Diag n’Grow, which values and prices intangible assets like patents and software. He blends research-grade expertise in optimization and machine learning with hands-on engineering across VueJS, Django, PostgreSQL and LLM toolchains (Mistral, Azure OpenAI, Langchain), shipping production-grade features and data pipelines on cloud providers such as Clever Cloud and OVH. Previously co-founder and CTO of Optimo Technologies, he turned transport prediction research into a deployed mobility assistant backed by Inria, demonstrating an ability to commercialize academic R&D. He also teaches practical AI agent development and maintains a consultancy background, bringing a rare mix of academic rigor, product delivery, and IP-focused financial analytics to technology leadership.
code11 years of coding experience
job6 years of employment as a software developer
bookThèse de doctorat Informatique, Thèse de doctorat Informatique at University of Lille 1 Sciences and Technology
bookMaster I2L Informatique, Master I2L Informatique at Université du Littoral Côte d'Opale
bookBaccalauréat Série scientifique, Baccalauréat Série scientifique at Lycée Giraux Sannier
languagesFrench, English
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Stackoverflow

Stats
653reputation
116kreached
5answers
2questions
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Github Skills (101)

multi-objective-optimization10
automation10
home-assistant10
operations-research10
ip10
nodejs10
pypi10
journal9
side-bar9
home-automation9
open-access9
react-native-module9
python9
cpp9
map-box9

Programming languages (10)

TypeScriptJavaC++CSSRustJavaScriptPHPHTML

Github contributions (5)

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moead-framework/framework

Nov 2019 - Oct 2022

MOEA/D is a general-purpose algorithm framework. It decomposes a multi-objective optimization problem into a number of single-objective optimization sub-problems and then uses a search heuristic to optimize these sub-problems simultaneously and cooperatively.
Contributions:10 releases, 24 reviews, 269 commits in 2 years 11 months
multi-objective-optimizationmoeadframeworkmulti-objectiveoperations-research
Contributions:31 commits, 31 pushes, 2 branches in 4 months
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