Case studies / Selected systems
Each case study focuses on the problem, technical judgment, production architecture, operational constraints, and lessons that carried into the next system.
Detection engineering / Production ML
A multi-stage machine learning pipeline for detecting phishing domains in DNS traffic using character-level language features, domain metadata, threat intelligence, and an ensemble of classifiers.
Threat intelligence / Data engineering
An automated pipeline that collects, cleans, deduplicates, filters, scores, and stores suspicious domain data on an hourly operating rhythm.
Generative AI / Knowledge systems
A private AI tutor that used retrieval-augmented generation to answer questions with trusted enterprise learning content.
A quick scan
The recruiter overview connects these projects to target roles, production experience, cybersecurity depth, and the wider technical stack.