Connecting ideas to systems.
My work includes model development and evaluation, anomaly detection, LLM agents and workflows, MLOps, and distributed infrastructure. I approach these through the behavior of the whole system: what it does, how it is observed, and what happens when it fails.
As a PhD Researcher at the University of Greenwich, I investigate security and trust in agentic AI. I created Chagu, a continuing protocol development and research initiative, and SARAD, an open-source anomaly detection framework for synthetic aperture radar imagery.
I was selected as one of 200 participants in the 2024 GenAI Pioneer Program and participate in the Nebius Academy AI Performance Engineering Fellowship.
I work with international teams on AI engineering and cybersecurity, combining research with practical delivery.