About

I am a systems security researcher focused on adaptive deception, attacker telemetry, and vulnerability research. My work combines honeynet architecture, network-facing observation, and machine learning to study attacker behavior in structured, technically meaningful ways.

My current agenda centers on ADLAH: an adaptive multi-layer honeynet design with explicit telemetry contracts and evaluation hooks, documented in an arXiv preprint and an open reference implementation.

Long term, I want deception and measurement tooling that makes attacker trajectories easier to compare across deployments -- so empirical work in systems security can compound instead of resetting with every bespoke lab setup.

I am pursuing an MSc in Computer Science at Georgia Tech with a systems security orientation, and hold an applied undergraduate background including collaboration with Germany's Federal Office for Information Security (BSI). Public artifacts include coordinated disclosures, kernel and library fixes, open-source tooling, and preprint or published research.