// profile

Cybersecurity researcher and developer with a Master’s in Information Security, working across threat intelligence, detection, and incident response. I turn SOC experience into practical tools and research — currently focused on using AI and machine learning to automate cyber threat attribution.

// core_skills
Offensive: Pen Testing, CTF, Reverse Engineering
Defensive: SIEM, SOC, DFIR
Development: Python, JavaScript, React
Research: ML/AI, NLP, Threat Attribution
// selected_work

NexusNimbus Security Toolkit

20+ client-side tools · built from scratch

A suite of browser-based security and developer tools — JWT decoder, CVSS calculator, subnet calculator, regex tester, hashing, a from-scratch QR encoder and more. 100% client-side: no servers, nothing leaves the browser.

AI-Driven Threat Attribution

research

Applying machine learning and NLP to automate the attribution of intrusions to threat actors, reducing the slow manual analysis attribution usually demands.

SOC Detection Engineering series

writing & detections

Practitioner write-ups mapping defences to MITRE ATT&CK — ransomware anatomy, account-takeover detection, static malware triage, and identity-perimeter monitoring.

NexusNimbus platform

design & development

Designed and built the NexusNimbus site end to end: a custom WordPress theme, the tool engine, and the content system behind the research and toolkit.

// education

MSc, Information Security

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