About Me
Summary
Cybersecurity professional with a software engineering foundation, specialising in detection engineering, adversary emulation, and application security. At Booz Allen Hamilton, I build enterprise-scale threat detection capabilities, develop SOC use cases, and lead security transformation programs for global clients.
Certifications
Technical Skills
Experience
Full detail on LinkedIn ↗
Booz Allen Hamilton – Associate, Cyber
Leading detection engineering and security transformation programs for global enterprise clients.
Booz Allen Hamilton – Senior Consultant, Cyber
Built a modular adversary simulation framework in C# and Python (Mythic Apollo) with custom EDR evasion logic; developed 30+ KQL detection rules in Microsoft Sentinel; authored 5 IR playbooks and 13 MITRE ATT&CK-aligned SOC use cases; led cyber maturity assessments and fusion centre design across logistics, retail, and financial services sectors.
Deloitte – Cyber Risk Consultant
Designed secure network architectures with Zero Trust strategies; automated server hardening using PowerShell and Chef (CIS benchmarks); MITRE ATT&CK-based TTP heatmaps to prioritise cybersecurity control investments.
Speaking
BSides Den Haag 2026
From Noisy Alerts to Signal: How Real Detection Engineering Teams Actually Work — Presented at the inaugural BSides Den Haag on practical detection engineering, reducing alert noise, and detection-as-code workflows.
Projects
DataDog — Stratus Red Team
Developed a MITRE ATT&CK coverage matrix for the project, featured in DataDog's March 2025 Security Digest. Also improving the Makefile for better maintainability.
Deep Learning for Network Intrusion Detection
Network intrusion detection classifier distinguishing malicious from normal traffic using Recurrent Neural Networks and Multilayer Perceptrons.
DeepPhishing
LSTM model to detect and classify malicious domains using PhishTank and Cisco Umbrella 1 million datasets.
Education
MSc Applied Cybersecurity — Queen’s University Belfast, 2020
Thesis: Machine Learning for Network Intrusion Detection
BSc Computer Science — University of Nairobi, 2017