Summary
Imene 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 Lyon
Master's degree CS Data Mining, Master's degree CS Data Mining at Université Lumière Lyon 2