Freelancer profile translated to English.
Back to original languageAbout Paul
Applied AI & data exploitation (images, sound, text)
From design to production.
I assist organizations in creating truly operational artificial intelligence solutions: data analysis, custom algorithms, machine learning, deep learning, LLMs, and signal processing.
Generally, I start with a phase of understanding business needs, analyzing data, and jointly defining performance metrics.
In case of technical uncertainty, I carry out a short POC to validate feasibility and limit risk.
Once validated, I take charge of the project until production: data structuring, development, testing, optimization, and deployment. I can train your teams in DevOps maintenance and create the necessary CI/CD pipelines. I can also adapt to your infrastructure. I am familiar with hardware constraints.
I can work alone or integrated into your teams, and can train your collaborators to foster autonomy.
Depending on the project, billing can be by time spent or by delivered result — in which case, I assume the risk of innovation, development, and production. I guarantee my results and that you can use them with confidence.
References and recommendations available upon request.
French
Native or bilingual
English
Fluent
Can work on-site
Chambéry (up to 50km)
Experience
- AraymondCreating AI Training Processes on Microsoft Azure ML Studio and Launching Multiple Automated JobsAUTOMOBILENovember 2024 - Today (1 year and 7 months)Grenoble, FranceDevelopment 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 intelligenceOctober 2021 - Today (4 years and 8 months)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 EngineerMarch 2021 - September 2021 (6 months)Grenoble, FranceConsulting and management for AI engineer and researcher.
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Education
- PhD (Doctorate) 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)