I'm a cybersecurity student and self-employed technical builder driven by a deep interest in how complex systems work — and how they break. My work sits at the intersection of security, radio-frequency technology, infrastructure automation, and intelligent agent systems.
As founder of Lab XIII, I build practical tooling and environments across cyber, SDR, and AI-driven automation — with a focus on technical depth, operational leverage, and high-agency execution. I'm currently studying at the University of Roehampton, where modules span digital forensics, information security, algorithms, and software engineering.
I'm drawn to technically challenging problems that demand systems thinking — the kind of work where genuine depth matters more than surface-level familiarity.
Experience
Running a self-directed technical lab focused on cybersecurity tooling, SDR ecosystems, autonomous agent systems, and digital forensics infrastructure. Building containerised environments, automation pipelines, and experimental systems where security meets intelligent automation.
Supported computing and cybersecurity laboratory sessions, guiding students through programming tasks, security practicals, and technical debugging under academic supervision.
Represented the university at open days and outreach events, communicating technical degree programmes clearly to prospective students and diverse audiences.
Managed live broadcast operations including programme scheduling, real-time playlist control, and transmission system oversight. Operated and troubleshot AirBox broadcast automation under tight, zero-tolerance SLAs in a hybrid live environment.
Education
Currently in Year 2, with a strong academic trajectory across software engineering, operating systems, algorithms, and security fundamentals. Modules span both the practical and theoretical dimensions of the discipline — from low-level systems and network security, to digital forensics and database design.
Demonstrated consistent performance in software development and computational modules, building a solid foundation in Python, C, and systems programming alongside core security coursework.
Projects
An AI-driven bridge for physical machine control, built using PiKVM v2 and the MCP protocol. Routes natural-language commands through LLM agents to operate hardware remotely — enabling genuinely autonomous machine control over a network.
View GitHub profileSkills
Certifications & Learning
Microsoft Learn — Level 5 · 18,250 XP · 12 Badges · 2 Trophies
Learning Path Trophies
Module Badges