Dr. Tatiana Teppoeva spent 17 years at Microsoft and Boeing as a data scientist and research manager. She built and understands predictive AI systems from the inside out — including work that led to a U.S. patent for machine learning that predicts system failures from real-time behavioral patterns.

That foundation means she understands how these models are designed, what they actually optimize for, and where training data assumptions create systematic blind spots that produce confident but wrong predictions.

AI hiring tools use the same foundational logic — predicting future performance from behavioral signals. The architecture evolves. The failure modes don't.

Her background in psychometrics — the science of measuring psychological attributes — means she can evaluate AI hiring vendor validation claims at a technical level most HR consultants and employment attorneys cannot. When a vendor says their tool is validated and bias-free, she can read the technical report and tell you what it actually proves — and what it doesn't.

That psychometric expertise was described as extraordinary by a Senior Psychometrician at CFA Institute, one of the most rigorous professional credentialing organizations in the world.

At Boeing she built an end-to-end employee data system — from quarterly surveys through database design to executive reporting — managing personal employee data with appropriate governance controls as the sole custodian before anonymization. She understands what responsible data handling looks like in practice, not just in policy.

She has practical experience building evidence-based cases, constructing documentation trails, and understanding what defensible records actually require. She knows the difference between documentation that looks complete and documentation that holds up under scrutiny.

She launched Human Signal Advisory™ after seeing the same pattern repeatedly: organizations investing in AI hiring tools they couldn't explain, couldn't defend, and couldn't evaluate independently.