LLM Security Playbook
A comprehensive guide and checklist for securing Large Language Model applications against common vulnerabilities.
Innovation & Artificial Intelligence Research & Consultancies
AI red-teaming, safety & assurance — before your customers stress-test it for you.
Founder-led consultancy backed by the loom evaluation platform, in-house NVIDIA RTX PRO 6000 compute, and ~10 years in InfoSec.
Model robustness · Guardrail design · AI assurance
Tailored content to help you find exactly what you're looking for.
View my professional background, resume, and project portfolio.
Explore my open source contributions, codebases, and technical prowess.
Read my technical articles, tutorials, and explore security playgrounds.
Skills Map
Explore the interconnected landscape of my technical capabilities, from leadership and strategy to hands-on engineering and tools.
Years in Incident Response
Leading high-stakes security operations
Countries Served
Supporting teams across global time zones
Monthly Downloads Protected
Hardening open-source supply chains
Practical AI research and assurance for teams shipping models, agents, and autonomous systems.
Stress-test LLMs and agents for jailbreaks, failure modes, and robustness before deployment.
Model evaluation, guardrail design, and compliance-aligned testing (EU AI Act / UAE PDPL-aware).
Feasibility studies, safe-deployment architecture, and research consulting for AI products.
Connect for AI safety research, advisory enquiries, and speaking opportunities.
Security Engineer & AI Developer
Connections
Followers
Endorsements
Recommendations
Platforms and contributions that power our AI assurance work.
A comprehensive guide and checklist for securing Large Language Model applications against common vulnerabilities.
A comprehensive case study on discovering and fixing a critical vulnerability in pip's dependency resolution algorithm that affected millions of Python developers worldwide.
A detailed case study on identifying and fixing security vulnerabilities in the OpenAI Python SDK, including async streaming improvements and backpressure handling implementation.
Contributing to the tools that power the AI ecosystem
Notes on AI safety, red-teaming, and secure deployment.
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.
Book a consultation to discuss red-teaming, safety assurance, or applied AI research for your organisation.