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

Description

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:

Industry field of expertise

Languages

English
Native or bilingual
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Rakuten
Senior Applied Machine Learning Scientist
January 2021 - Today (5 years and 5 months)
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.
LLMs Generative AI Deep Learning NLP Recommender Systems
Singapore Management University
Machine Learning Research Scientist
RESEARCH
May 2017 - December 2020 (3 years and 7 months)
Singapour, Singapore
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
EDUCATION AND E-LEARNING
August 2016 - May 2017 (10 months)
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.

Check out Aghiles's experience

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

Signup to reveal

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

Check out Aghiles's education

Data Scientist