Acerca de Paul
Francés
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Experiencia
- AraymondCreating AI Training Processes on Microsoft Azure ML Studio and Launching Multiple Automated JobsAUTOMÓVILnoviembre de 2024 - Hoy (1 año y 7 meses)Grenoble, FranciaDevelopment of a streamlined infrastructure on Azure for efficient dataset archiving and management. Integration of AI workflows using Docker and structuring a comprehensive 9-step process for model training, evaluation, and deployment. Independently managed projects with clear objectives, including data centralization and automation of critical tasks (automatic dataset evaluations, preprocessing, data augmentation, etc.).
- GIPSA-labPhD student in statistics, signal processing and artificial intelligenceoctubre de 2021 - Hoy (4 años y 8 meses)Grenoble, FranceThe aim is to simplify neural network architectures to better understand them and make them more robust. This includes pruning techniques, channel pruning, as well as architecture tuning. One of the distinctive features of the developed method is that it proposes an alternative to gradient descent. The project is being valorized.
- GIPSA-labArtificial Intelligence Engineermarzo de 2021 - septiembre de 2021 (6 meses)Grenoble, FranceConsulting and management for AI enginner and researcher.
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Formación
- PhD (Doctorat) in statistics, signal processing and artificial intelligence (AI)École doctorale d'Électronique, électrotechnique, automatique, traitement du signal (EEATS Grenoble)2024The aim of my research project is to simplify neural network architectures to better understand them and make them more robust. This includes pruning techniques, channel pruning, as well as architecture tuning. One of the distinctive features of the developed method is that it proposes an alternative to gradient descent. The project is being valorized
- Engineering degree at Polytechnique Grenoble (ENSE3) in water , energy and environment , specialized in statistics, signal and image (SICOM)Grenoble INP - Ense32020engineering degree in water , energy and environment , specialized in statistics, signal and image (SICOM)