Hayden Williams

Software engineer and consultant in Cyber Security and AI, with a specialism in adversarial attacks against LLM-based agentic systems, prompt injection, and AI security research.

My final-year dissertation at Oxford Brookes University, Project Earworm, is an audio prompt injection evaluation framework targeting voice-enabled LLM agents. Built on a custom ReAct architecture using Python, FastAPI, LangChain, Docker, and PostgreSQL, it is one of the first systematic empirical evaluations of this attack surface.

My engineering background spans Python, Java, C, C++, and C# (.NET MAUI), with a strong foundation in Unix/MINIX systems programming, POSIX IPC, and CISCO networking (CCNA).

I have built everything from secure Unix daemons and multi-agent debate simulators to decision tree classifiers and cross-platform applications. I am a NCSC CyberFirst Advanced alumnus and have previously published on the trajectory of large language models for the Oxford Union.

I work as AI Associate at Oxford Capital, building agent data pipelines and internal AI tooling in a venture capital environment. I also serve as Director of Strategy at the Oxford Union. Outside of work, I sing as a Tenor at Lincoln College (University of Oxford) Chapel Choir.

Through my consultancy, I work with organisations on three areas: AI agent design and automation, AI security and safety reviews of LLM-powered systems, and practical AI training for technical and non-technical teams.