Ruqiya Bin Safi is an AI safety researcher and product-focused engineer with a decade of experience building AI products from 0 to 1 and leading technical teams across startups and community initiatives. Currently an AI Safety Research Fellow at Algoverse, she conducts mechanistic interpretability and circuit-tracing work on Gemma models to uncover causal structures behind refusals, jailbreaks, and harmful outputs. Previously she drove core RAG pipelines, citation-aware chat features, and browser integration experiments as Senior AI Engineer and Head of Saudi operations at Fyler, combining product strategy with hands-on engineering. She also founded and scaled technical events and developer programs, mentoring talent and running high-impact bootcamps that bridge AI education and hiring pipelines. Fluent in both research and product execution, Ruqiya uniquely pairs activation-level model probing with pragmatic feature delivery for regional AI products in the MENA market.
10 years of coding experience
6 years of employment as a software developer
Master of Business Administration - MBA, MBA Artificial Intelligence, Master of Business Administration - MBA, MBA Artificial Intelligence at Walbrook Institute London
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at LIBF
Bachelor's degree, Information Technology, Bachelor's degree, Information Technology at Saudi Electronic University
Python library used for Arabic NLP to process, prepare and clean the Arabic text
Contributions:1 review, 1 PR, 17 pushes in 1 year 9 months
arabic-nlpnatural-language-processingnlppython
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Ruqiya Bin Safi - AI Safety Research Fellow at Algoverse