Freelancer profile translated to English.
Back to original languageAbout Adrien
Data Scientist – Expert in Machine Learning Benchmarks and Competitions
Holder of a PhD in Machine Learning and Data Science from Paris-Saclay University, I specialize in the design, implementation, and analysis of benchmarks to evaluate the performance of AI algorithms.
With solid experience in organizing competitions on CodaLab and Codabench, I have collaborated with major players such as Google, INRIA, Dassault Aviation, RTE-France, and the Île-de-France region. These projects have allowed me to develop cross-functional expertise at the intersection of academic research and industrial needs.
What I offer:
- Implementation of robust and reproducible benchmarks
- Design of AI competitions (scoring, ingestion, challenge design)
- Analysis of results, scientific interpretation, and strategic support
- Mastery of tools related to hardware, software engineering, and data pipelines
My strengths:
- Technical versatility (from low-level systems to scientific analysis)
- Fluid and effective communication with technical and non-technical teams
- Responsiveness, reliability, and rigor in delivery
I am available to discuss your needs and adapt my skills to your projects. Do not hesitate to contact me!
English
Fluent
French
Native or bilingual
Portuguese
Native or bilingual
Spanish
Basic
Remote only
Primarily works remotely
Experience
- InriaMachine Learning Research EngineerRESEARCHNovember 2019 - December 2023 (4 years and 1 month)Orsay, France- Administration and improvement of the CodaLab Competitions platform (https://codalab.lisn.fr/)- Collaboration with French industries for the creation of machine learning competitions (Dassault Aviation, Réseau de Transport d’Électricité)
- Travailleur indépendantData Scientist ConsultantRESEARCHSeptember 2018 - Today (7 years and 11 months)Paris, FranceMissions:- Management of the development and deployment of the CodaLab Competitions (https://codalab.lisn.fr) and Codabench (https://codabench.org) platforms- Organization and analysis of the "Automatic Deep Learning" (AutoDL series) challenges with Google, Chalearn, and INRIA- Support for the organization of the NeurIPS "Concordia 2024" challenge with Google DeepMind- Organization of a data challenge with France Travail and the Île-de-France region- Research on medical applications of generative models with Rensselaer Polytechnic Institute, New York
- Institut National de Recherche en Informatique et en Automatique (INRIA)Machine Learning Research InternshipRESEARCHMarch 2018 - September 2018 (6 months)Orsay, France- Study of generative models, particularly Generative Adversarial Networks (GANs).- Coordination of an intern team.- Creation of Machine Learning competitions with synthetic medical data.
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Education
- PhD in Machine LearningUniversité Paris-Saclay2023Sujet : Méthodologie pour la Conception et l'Analyse de Compétitions Scientifiques en Apprentissage Automatique.
- Master of Computer Science, Machine Learning and Data ScienceUniversité Paris-Saclay2018Mention bien Ce parcours est au confluent de l’algorithmique, de l’apprentissage automatique, des statistiques, et de l’algorithmique spécifique des domaines d’application visés (par exemple linguistique ou vision computationnelles).