Security investigation & incident response
Malware analysis, intrusion investigation, and practical remediation for organizations that need clarity under pressure.
Cybersecurity · AI Security · Research
I help organizations investigate real threats, harden complex systems, and turn security research into practical engineering — drawing on 15+ years across consulting, product development, and applied research.
15+
Years in cybersecurity
Investigation, engineering, and advisory work
PhD
Insider threat research
Behavioral analysis for corporate environments
Patent
US patent — malware detection
Machine learning applied to novel threats
Build
Security products & platforms
BUGSKAN, BugShield, and related tooling
Expertise
Practical security work across investigation, engineering, research, and advisory.
Malware analysis, intrusion investigation, and practical remediation for organizations that need clarity under pressure.
Hardening cloud and application environments, DevSecOps practices, and defenses that hold up in production.
Protecting sensitive data and applying machine learning thoughtfully to detection and analyst workflows.
Evidence-based guidance, teaching, and collaboration for teams building lasting security capability.
Portfolio
Examples from consulting, product development, and research — outcomes you can verify on the portfolio pages.
Identified malware introduced through phishing, performed static and dynamic analysis, removed the threat, and strengthened prevention — without significant data loss or downtime.
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Cloud-based vulnerability scanning built at BUGSKAN to help teams find and fix application security issues as part of a broader Security-as-a-Service platform.
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Doctoral research on predicting insider threats with behavioral analysis and deep learning, focused on patterns that are difficult to spot with conventional controls alone.
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Doctoral research, patented detection work, and selected publications.
Completed in 2021: detection methodologies, behavioral analysis patterns, and preventive frameworks for risks posed by internal actors.
Machine-learning approaches for detecting novel malware, developed from applied cybersecurity research and engineering practice.
Malicious JavaScript analysis, dynamic malware analysis techniques, and frontline defenses for web applications — published and presented through the research portfolio.
Recognition
Television, print, and digital outlets have covered my work on cybersecurity awareness, investigations, and community initiatives.
Writing
Recent notes on threats, engineering practice, and security careers.
Recently I came across a phishing page that simulated Whatsapp Web login workflow. It was really a clear clone – the QR…
Navigating the complex world of cybersecurity can be a daunting task, especially when it comes to understanding the different roles and their…
Introduction Performing a forensic investigation on an AWS EC2 instance can become complicated if access to the instance is lost or the…
Recently, I was going through my LinkedIn feed and I found a post by Jake M. In the post, the author suggests…
Engage
Consulting enquiries, research collaboration, and speaking opportunities are welcome. Tell me what you are trying to protect — or teach — and we can take it from there.
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