Mouloud Iferroudjene

Industrial PHD Student at Courbon Software

Saint-Étienne, Auvergne-Rhône-Alpes, France
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Summary

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Senior
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Top School
Mouloud Iferroudjene is an industrial PhD student and R&D researcher at Courbon Software with eight years of experience applying data science, AI, and cybersecurity to industrial and business problems. He designs and evaluates methods in data mining, knowledge graph embedding, and explainable recommender systems, bridging academic research at EMSE with real-world product constraints. His work includes a published dataset for knowledge graph embedding and a research internship at LIRIS focused on explainability, showing a strong commitment to reproducible, application-driven research. Autodidactic and rigorous, he combines top academic honors from ESI with industry certifications to quickly prototype and deploy novel ML solutions in multidisciplinary teams. Based in Saint-Étienne, he brings both theoretical depth and practical engineering instincts to make complex systems smarter and more interpretable.
code8 years of coding experience
bookBaccalauréat, Mathematics and Computer Science, Mention Très Bien | GPA : 15.84/20, Baccalauréat, Mathematics and Computer Science, Mention Très Bien | GPA : 15.84/20 at Amrani Brothers High School
bookMaster 2 (M2), Computer Engineering, Mention Très Bien, Master 2 (M2), Computer Engineering, Mention Très Bien at Ecole nationale Superieure d'Informatique (ESI)
bookCycle préparatoire, Informatique, Cycle préparatoire, Informatique at École Supérieur en Informatique - 08 Mai 1945 - Sidi Bel Abbes
languagesArabic, tamazight, French, English
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Github Skills (10)

python5
sequence5
machine-learning4
deep-learning4
nlp4
cuda4
graph4
embedding4
knowledge-graph3
pytorch2

Programming languages (3)

HTMLJupyter NotebookPython

Github contributions (5)

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miferroudjene/RACF

Jan 2021 - May 2022

RACF (Recency Aware Collaborative Filtering) is the implementation of the "Recency Aware Collaborative Filtering for Next Basket Recommendation" original paper. which is a set of collaborative filtering approaches for solving the problem of predicting the Next Basket Recommendation.
Contributions:1 review, 12 commits, 1 PR in 1 year 3 months
MayloIFERR/FB15k-CVT

Aug 2023 - Aug 2023

Contributions:7 pushes, 1 branch in 2 days
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Mouloud Iferroudjene - Industrial PHD Student at Courbon Software