
slim Frikha
@slimfrikha
I build verifiable generative AI systems and automated data pipelines for banking risk models.
What I'm looking for
I'm building ExplainMyModel at PwC Tunisia, a GenAI multi-agent system that automates technical and regulatory documentation for banking risk models. I designed an LLM-first architecture with RAG enrichment and specialized agents grounded in code evidence for Basel III/IV, IFRS 9, and SR 11-7 requirements.
At Ernst & Young Tunisia, I contributed to a multi-tenant SaaS transformation and automated Dataiku ETL pipelines. I also built a Python agent using the Dataiku API to apply client-specific customization rules and replace manual configuration.
I've also automated web extraction at Vermeg with Puppeteer and Electron, and built a C and SQL transaction-monitoring application at BIAT Bank.
Experience
Work history, roles, and key accomplishments
Software Engineer — Generative AI & Risk Modeling
Slim Frikha
Final-year software engineering student specialized in software development and generative AI. Builds LLM multi-agent systems and automated data pipelines in banking and audit settings.
Education
Degrees, certifications, and relevant coursework
Esprit Engineering School
Engineering Degree, Software Engineering
2021 -
Pursuing an IT Engineering degree with a focus on software engineering and generative AI.
Byrsa Secondary School
High School Diploma, General Studies
2017 - 2021
Completed high school education with a focus on scientific subjects.
Availability
Location
Authorized to work in
Job categories
Skills
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