Ruqiya Bin Safi
AI Safety Research Participant SOAR 2026 at EleutherAI
Saudi Arabia
Summary
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Rockstar🎓
Top SchoolRuqiya 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.
11 years of coding experience
4 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 LondonMaster's degree Artificial Intelligence, Master's degree Artificial Intelligence at LIBFBachelor's degree Information Technology, Bachelor's degree Information Technology at Saudi Electronic University
Arabic, English
Github Skills (51)
multilabel-classification10
sentence-embeddings10
benchmark10
convolutional-neural-networks10
neural-search10
sentence-transformers10
evaluation10
retrieval10
barrage10
recurrent-neural-networks10
information-retrieval10
multimodal10
text-classification10
semantic-search10
keras10
Programming languages (5)
Github contributions (5)
listen-to-me/listen_to_me
Feb 2019 - Sep 2023
Contributions:1 release, 4 branches, 1 tag in 4 years 8 months
Ruqyai/Deep-Learning-Course
Jan 2021 - Nov 2022
Deep learning course
Contributions:46 commits, 34 pushes, 1 branch in 1 year 10 months
deep-learningneural-networkcnnconvolutional-neural-networkstensorflow
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