Yacine Baccar
R&D ML Engineer at Criteo
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolYacine Baccar is an R&D ML Engineer at Criteo with eight years of experience applying machine learning to production problems across NLP and computer vision. Trained at Télécom ParisTech and École Polytechnique after an engineering degree from SUP'COM, he blends strong academic foundations with hands-on industry R&D. He has practical experience from internships at SAP and earlier SDE work, giving him both research instincts and software engineering rigor. At Criteo he focuses on scalable ML solutions for real-world advertising systems, bridging model development and deployment. Fluent in both research-style experimentation and production constraints, he often explores cross-modal approaches that improve robustness in noisy, large-scale datasets. Based in Paris, he brings a thoughtful mix of academic curiosity and product-minded engineering to applied ML challenges.
8 years of coding experience
1 year of employment as a software developer
Baccalauréat, Baccalauréat at Lycée Pilote Bourguiba de Tunis (LPBT)Premier cycle d'études universitaires, Premier cycle d'études universitaires at Institut Préparatoire aux Etudes d'Ingénieurs de TunisDiplôme d'ingénieur (Engineering Degree), Diplôme d'ingénieur (Engineering Degree) at Telecom ParisTechDiplôme d'ingénieur (Engineering Degree), Diplôme d'ingénieur (Engineering Degree) at SUP'COMMaster 2 (M2), Master 2 (M2) at École Polytechnique
Spanish, German, English, French
Github Skills (13)
object-detection10
computer-vision10
deep-learning10
satellite10
satellite-images10
image-classification10
points6
machine-learning4
change-detection4
regression4
optimization4
time-series3
decision-tree3
Programming languages (2)
Github contributions (5)
yacine-benbaccar/Pool-Detection
Dec 2019 - Jul 2022
Detecting pools in satellite images
Contributions:37 commits, 11 PRs, 13 pushes in 2 years 6 months
dataminingdetectiondeep-learningsatellite-imagessatellite
yacine-benbaccar/Comparative-Study-On-Time-Series-Forecasting
Aug 2019 - Oct 2019
Contributions:16 commits, 3 pushes, 2 branches in 2 months
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