Imene Kerboua
AI PhD Student at Esker
Lyon, Auvergne-Rhône-Alpes, France
Summary
🤩
Rockstar🎓
Top SchoolImene Kerboua is a PhD candidate in Machine Learning at INSA Lyon conducting a Cifre-funded research on NLP and web agents in partnership with Esker and LIRIS. With eight years of industry experience spanning data science, NLP engineering, and frontend development, she has delivered production ML solutions at companies like Cygogn and Once For All France. She also teaches cloud computing and data-related courses, and has lectured on LLM agents internationally, reflecting a strong bridge between research and applied engineering. Her background includes building hybrid deep-learning recommender systems and designing NLP pipelines, complemented by hands-on experience with Azure and Python-based tooling. Based in Lyon, she combines academic rigor with pragmatic product focus, often juggling part-time lecturing alongside industry research. An understated strength is her ability to translate cutting-edge agent research into teachable, production-ready components.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Information Systems and Software Engineering, Bachelor's degree, Information Systems and Software Engineering at Université des Sciences et de la Technologie 'Houari Boumediène'Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at INSA Lyon - Institut National des Sciences Appliquées de LyonMaster's degree, CS Data Mining, Master's degree, CS Data Mining at Université Lumière Lyon 2
Github Skills (55)
similarity-search10
transformers10
multilabel-classification10
sentence-embeddings10
benchmark10
pytorch10
neural-search10
sentence-transformers10
python10
machine-learning-models10
evaluation10
retrieval10
machine-learning10
barrage10
inference10
Programming languages (4)
Github contributions (5)
imenelydiaker/recommender-system-based-on-deep-learning
Oct 2019 - Apr 2021
Contributions:6 commits, 5 pushes, 1 branch in 1 year 5 months
Lyon-NLP/mtebscripts
Jan 2024 - Jun 2024
Scripts used for MTEB
Contributions:64 reviews, 63 PRs, 231 pushes in 5 months
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