Sahara is a computational linguist and AI security researcher dedicated to building culturally coherent, resilient, and trustworthy technology. Currently a Project Lead for AI Data Operations, she focuses on the frontier of "Linguistic Security", synthesizing computational linguistics, adversarial safety, and open-source collaboration. As a technical builder within the NAMAA Arabic NLP community and a UCLA trained linguist, Sahara translates cultural and script specific nuances into defensive frameworks for more secure AI systems. As a first generation Palestinian-Mexican American, she is committed to architecting digital spaces that are safe, accessible, and technically representative of the global communities they serve.

Note: As a first-time BSides speaker, I am excited about working with a mentor to refine this technical briefing for the San Diego security community.