Company
Talent Systems AI combines I-O psychology, structured assessment, product engineering, and responsible AI to help companies hire for skills, predict performance, and build stronger workforce intelligence without reducing people decisions to black-box scores.
The science to hire well is well established. The tools that claim to apply it rarely show their work. Talent Systems AI is built to the standard a trained assessment scientist would hold: every score traces to the evidence behind it, and every decision is documented to survive an audit.
I-O Psychologist
Twelve years building skills-based talent systems by hand: the assessments behind who gets hired, promoted, and trained. As a professor and researcher, he studies what AI is actually doing to that work.
Owns the science the engine runs on, so scaling never means cutting the rigor.
AI & Data Science
He works where machine learning meets measurement: building AI systems and proving they do what they claim. His background runs through work analysis, personnel selection, and performance measurement.
Owns the AI engine and the validation that keeps its scoring defensible.
Head of Engineering
A career shipping enterprise software, in the gap between what the business wants and what engineering can actually deliver. He has led cross-functional teams through high-stakes launches.
Owns the engineering, turning the science into a product that holds up under real load.
The fastest way to judge whether the science holds up is to watch it run.