Aghiles S., Senior Machine Learning | AI | Data Scientist

Beschreibung

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:

Branchenexpertise

Sprachen

Englisch
Muttersprachlich oder zweisprachig
Französisch
Muttersprachlich oder zweisprachig

Arbeitsortpräferenzen

Vor Ort möglich

Paris (bis zu 50 km)

Rakuten
Senior Applied Machine Learning Scientist
Januar 2021 - Heute (5 Jahre und 5 Monate)
Paris, Frankreich
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.
LLMs Generative AI Deep Learning NLP Recommender Systems
Singapore Management University
Machine Learning Research Scientist
FORSCHUNG
Mai 2017 - Dezember 2020 (3 Jahre und 7 Monate)
Singapour, Singapur
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
Machine learning Deep Learning multimodal Natural Language Processing (NLP) Recommender Systems
Université Paris Descartes
Assistant Professor
BILDUNG & E-LEARNING
August 2016 - Mai 2017 (10 Monate)
Paris, Frankreich
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.

Gesamte Berufserfahrung von Aghiles ansehen

A

Agatha Frydrych

Backend Java Software Engineer

4.7

(3)

2

B

Baptiste Duhen

Fullstack developer

4.6

(4)

5

A

Amed Hamou

Senior Lead Developer

4

(2)

7

A

Audrey Champion

Web developer

4.3

(3)

4

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Ph.D. in Computer Science
University of Paris Descartes
2016
Specialization in Machine Learning.
M.Sc. (2nd year) in Computer Science
University of Paris Descartes
2013
Machine Learning and Data Science

Ausbildung und Abschlüsse von Aghiles ansehen

Data Scientists