PhD Candidate | Data Scientist | Explainable AI Specialist
I am a Data Scientist with a strong focus on Explainable AI (XAI), currently pursuing a PhD at Télécom Paris and Institut Polytechnique de Paris. My work aims to make complex AI systems more transparent, trustworthy, and ethically sound. Leveraging cutting-edge methods, I deliver solutions that help businesses navigate emerging AI regulations and drive impactful, data-driven strategies.
Automated assessments and tools ensuring compliance with EU AI Act, minimizing regulatory risks and enhancing accountability.
Implementing XAI methods (SHAP, LIME) to make AI decisions transparent and understandable, fostering trust in advanced models.
Identifying and mitigating biases to ensure equitable, responsible AI solutions that respect diverse communities and stakeholders.
Producing clear, regulator-ready documentation for internal teams and external oversight, ensuring clarity and long-term reliability.
Data Scientist passionate about XAI, advancing AI interpretability for LLMs and real-time decision-making. Skilled in deep learning, time series, and compliance-driven development.
Data Research, Next.js, Pandas
French, Arabic, English
Get in touch to discuss how we can make your AI systems more transparent, ethical, and compliant.
8 Boulevard de l'Hôpital, 75005 Paris
+33 6 59 35 39 76 (Mobile)