Bouthayna MESRAF

Participating in the AI Policy Clinic, an intensive, interdisciplinary semester-long program developing practical skills in AI policy analysis, research, evaluation, team collaboration, and policy formulation through applied projects and publications. The program covers AI history, institutional and governance challenges, AI regulation and policy frameworks, and research methods applied to national and international AI policies.

- Applied LORE (local rule-based explanations) to the German Credit Risk dataset. - Assessed explanation quality and reliability by implementing evaluation metrics (Python, Scikit-learn).

• Executed structured test plans for financial factoring and risk management systems • Validated datasets in Microsoft SQL Server to ensure accuracy and consistency of risk calculation models • Automated API validation workflows (Swagger, Xray) • Strengthened documentation and defect analysis to improve audit readiness

-Réalisation d’un API middleware qui s’interface avec AWS pour gérer les documents électroniques . -outils et langages : python , Django , S3 , aws lambda, zappa.