Cyber threats evolve faster than most defenses, and my mission is to help people stay safe and organizations stay ahead.
I bring over a decade of experience at Trellix, McAfee, and Intel,specializing in Threat Intelligence, Threat Hunting, Detection Engineering, Web Reputation Systems, SIEM Optimization, and now AI Safety for Cyber Defenders. Focusing on AI abuse prevention: identifying threat actors and their AI-specific goals.
My guiding principle: every alert, dashboard, and dataset tells a story. When analyzed with intent, that story reveals the adversary playbook and our opportunity to stay one step ahead.
| Metric | Impact Log |
|---|---|
| +35% | Coverage Uplift: Achieved through enhanced phishing classification and web-filtering accuracy. |
| -20% | Detection Effectiveness: Gain in web detection effectiveness in third-party evaluations. |
| -20% | Faster Response: Deployed via optimized Splunk dashboards and improved IOC/IOA correlation. |
| -5% | False Positives: Validated by AV-Test through refined detection rules and quality control. |
| -25% | Manual Analysis Time: Reduced human efforts by automating key Drools/BRMS detection and analysis workflows. |
| +95% | Team Adoption: Reached in participation for internal Security Awareness Training for technical teams. |
As a Cybersecurity Researcher and Threat Intelligence Specialist, I bridge the worlds of threat intelligence, SIEM engineering, web filtering, and antivirus technologies. Expanding into AI-driven business, security, and automation with a focus on multimodal AI for faster detection, automated analysis, and stronger incident response.
AI-Powered Software Developer Learning Pathway 4-week bootcamp
Pursuing Security+ & SecurityAI Certification
I am passionate about developing people, strengthening defenses, and building resilient teams. Lets connect if my background aligns with your needs, and chat about how I can contribute to your team security efforts.