Amar Oukaci is a founder and seasoned technologist with 10+ years blending quantitative finance, risk modeling and full‑stack software development to secure AI usage across organizations. Trained at École Polytechnique and ENSAE, he moved from exotic derivatives trading and risk consulting at HSBC and JPMorgan to building AWS‑backed Python and JavaScript solutions as an independent developer. At ModiaLab he leads Censorty, a product that prevents AI data leaks while preserving productivity through seamless IT integration, real‑time alerts and analytics. His background in high‑stakes trading and quantitative modeling informs a pragmatic approach to security and observability, enabling both policy enforcement and user‑centric tooling. Based in Paris, he combines deep numerical rigor with hands‑on engineering to turn complex regulatory and confidentiality constraints into usable, scalable software.
Diplôme de l'Ecole Polytechnique Mathematics and Computer Science, Diplôme de l'Ecole Polytechnique Mathematics and Computer Science at École Polytechnique
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