About

Current work

I'm a Senior Staff Software Engineer specializing in large-scale AI/ML for platform trust, security, and developer productivity.

Platform trust: fake accounts, automated abuse, scraping, GenAI content, and other adversarial platform problems.

Open source: built and open sourced a Spark/Scala isolation-forest implementation.

Research: patents, publications, talks, and academic collaborations at the intersection of trust and AI.

James Verbus working on the LUX dark matter detector
Experimental physics roots on the LUX dark matter experiment.

About Me

I drive AI strategies that improve platform trust and security, and build systems that improve developer productivity.

I focus on ambiguous, high-impact problems such as fake accounts, automated abuse, scraping, GenAI content, and other complex business problems. I also mentor engineers and help grow new technical leaders across teams.

I built and open sourced isolation-forest, a Spark/Scala implementation used across anti-abuse systems. My work includes multiple patents, open-source contributions, publications, and conference talks, often in collaboration with academic researchers.

Before tech, I was an experimental particle physicist. I earned my PhD at Brown University on the LUX dark matter experiment, where I helped build and operate a leading-generation detector located a mile underground in the former Homestake gold mine in South Dakota.

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