ASÀ propos de Aghiles
- Expert in Machine/Deep Learning with 10+ years of work experience in the field.
- 4 years of experience in applying machine/deep learning at scale in industry.
- Authored 20 publications in tier-1 ML/AI conferences and journals, which have received 647 citations as of January, 2025.
- Pioneer and one of the main developers of the Cornac Python open-source framework, which has received over 920 stars on GitHub as of January 2025.
- Received 3 competitive awards related to my machine learning career from different international institutions.
Useful links,
- Google Scholar: * Linkedin: * Cornac:
Anglais
Bilingue ou natif
Français
Bilingue ou natif
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- RakutenSenior Applied Machine Learning Scientistjanvier 2021 - Aujourd'hui (5 ans et 5 mois)Paris, France
- Building tailored LLMs and Deep Learning models to enhance Rakuten's services in Japan.
- Leading research interns and engineers.
Key Achievements- Improved the number of purchases by 4% and 16% on two primary recommendation widgets of the Rakuten Ichiba (Marketplace in Japan with a catalog of over 100M items).
- Improved the coverage of Material/Color attribute values of Rakuten Fashion by over 40% with a precision of 95%.
- Published 3 papers in tier-1 conferences, and 1 patent.
- Received two company awards for enhancing attribute value coverage.
- Singapore Management UniversityMachine Learning Research ScientistCENTRES DE RECHERCHEmai 2017 - décembre 2020 (3 ans et 7 mois)Singapour, Singapour
- Conducted advanced Machine Learning research in Deep Generative Models, Multimodal Learning, Recommender Systems, and NLP.
- Co-supervised graduate/undergraduate students and research engineers.
Key Achievements- Published 6 full papers in tier-1 ML/AI venues.
- Published a Python open-source Framework (Cornac), which has received over 920 stars on GitHub as of January 2025
- Université Paris DescartesAssistant ProfessorEDUCATION & E-LEARNINGaoût 2016 - mai 2017 (10 mois)Paris, France
- Conducted advanced research in Topic Modeling, Word Embedding, Co-clustering, and Matrix Factorization.
- Taught over 190 hours of courses in Machine Learning, Data Analysis, and Information Systems.
- Supervised several graduate and undergraduate students.
Key Achievements- Published 4 full papers in tier-1 ML/AI venues.
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Formations
- Ph.D. in Computer ScienceUniversity of Paris Descartes2016Specialization in Machine Learning.
- M.Sc. (2nd year) in Computer ScienceUniversity of Paris Descartes2013Machine Learning and Data Science