LLM Security Playbook
A comprehensive guide and checklist for securing Large Language Model applications against common vulnerabilities.
ICT Security Specialist · AI-Safety & Red-Team Researcher
~10 years in InfoSec and AI safety — red-teaming, model evaluation, and secure ML.
UAE Golden Visa holder currently running an independent AI-safety consultancy with active clients — exploring the right senior full-time role. Builder of the loom evaluation platform, Arab Security Conference speaker, ML publications.
Model robustness · Guardrail design · AI assurance
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بناء أدوات لتأمين الجيل القادم من البنية التحتية للذكاء الاصطناعي.
A comprehensive guide and checklist for securing Large Language Model applications against common vulnerabilities.
A detailed case study on identifying and fixing security vulnerabilities in the OpenAI Python SDK, including async streaming improvements and backpressure handling implementation.
A comprehensive case study on discovering and fixing a critical vulnerability in pip's dependency resolution algorithm that affected millions of Python developers worldwide.
المساهمة في الأدوات التي تدعم نظام الذكاء الاصطناعي البيئي
أفكار حول أمن الذكاء الاصطناعي والمصدر المفتوح وهندسة البرمجيات.
Announcing the launch of my personal portfolio built with Astro 5, React 19, and Tailwind CSS 4. A look at the architecture, features, and the journey of building a modern developer portfolio.
An introduction to my new portfolio and what I plan to share about AI security and Python development.
A comprehensive guide to understanding and mitigating security risks in Large Language Model applications, from prompt injection to data leakage.
أنا دائمًا منفتح لمناقشة فرص جديدة، أو تعاونات، أو مجرد الحديث عن أمن الذكاء الاصطناعي والمصدر المفتوح.