Projects / Selected work

Applied AI built for real-world use.

These projects show how I approach the full system: useful models, safeguards, production operations, and results that people can inspect and trust.

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Agentic AI / Security research

AI Security Research Agent POC

I built a read-only AI agent that researches one domain, shows its sources, and explains how it reached a verdict.

PythonStreamlitCloudflare Pages FunctionsPassive DNS
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Case Study

Production ML / DNS security

ML Phishing Domain Detection

A production machine-learning system that screens live DNS traffic and flags malicious or look-alike phishing domains in near real time. A four-model ensemble over 50+ engineered domain features is backed by a multi-stage verification safety net that confirms threats and suppresses false positives before they block a real customer. It flags roughly 800 malicious domains a day at about 90% precision. Built at ThreatSTOP.

Pythonscikit-learnpandas / NumPyDocker
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A quick scan

Review the experience in under one minute.

The recruiter overview connects these projects to my wider experience in production AI, enterprise learning, knowledge systems, and cybersecurity.