A career shaped by the same question in different systems.
The path from transaction platforms to trustworthy AI was not a sudden change of field. Each stage exposed a deeper version of the problem of reliable evidence.
Transaction and inventory systems
Early work in retail data and operational integration. Learned that the meaning of inventory depends on timing, state transitions, and reconciliation across systems.
Enterprise retail and supply chain
Expanded into large-scale retail data, forecasting inputs, and cross-domain integration.
Finance and supply-chain models
Worked on analytical systems where business definitions, governance, and repeatability mattered as much as computation.
Forecasting, replenishment, and platform modernization
Engineering around commercial forecasting systems, multi-brand integration, simulation, controls, and early cloud data modernization.
Measurement, data reliability, and applied AI
Enterprise-scale data systems supporting analytics and science, followed by research into silent corruption, observability, reconciliation, and trustworthy AI.
Research and professional service
Publications, conference presentations, reviewing, TPC leadership, and work that turns recurring production failures into testable research questions.