My professional experience has been crucial in shaping my approach to problem-solving. At Safran Aircraft Engines, I work as a Data Scientist focusing on Generative AI. I am responsible for engineering and implementing data preparation and training pipelines that improve NLP model performance. I also developed a preprocessing pipeline that reduced processing time from 35 minutes to just 15 seconds, a 99.3% reduction and implemented a Streamlit interface for key users to review the model's performance and bias through SHAP Values explanations.

At KIA France, I led the development of core applications for vehicle and stock management. 

This combination of academic rigor and applied engineering experience drives my ambition to pursue a PhD. I am particularly interested in research that strengthens the epistemic and ethical foundations of AI—how models justify beliefs, reason under uncertainty, and remain accountable in complex information environments.

My current work on verification-resilient research agents reflects this commitment to building systems that think critically rather than merely predict.