About

About Me

I’m a Senior Staff Software Engineer at LinkedIn, specializing in large-scale AI/ML for Trust and Safety. I lead initiatives that improve platform trust and security, and build AI systems that improve developer productivity.

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

I built and open sourced isolation-forest, LinkedIn’s Spark/Scala implementation used across LinkedIn’s 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.

Contact

• Email: james.verbus@gmail.com
• GitHub: github.com/jverbus
• LinkedIn: linkedin.com/in/jamesverbus
• X: x.com/JamesVerbus
• Google Scholar: Profile