The team.

Audited operational processes across logistics and manufacturing at Deloitte Risk Advisory, then Fuse Energy and Capture Energy. Sampling is where the frustration started: every company he audited had the systems to record what had happened and nothing that told them what was about to. Looking at the whole population instead of a sample is what process mining offered, and pAud is what that turned into.

Built enterprise data platforms at IBM, spanning large-scale event processing and master data management. Seven patents, three papers, and an open-source contributor. His research is on applying language models to large-scale tabular data, which is the same problem underneath this one: reasoning over records an operation already keeps.