Glory Ndu is an artificial intelligence and machine learning engineer by training, working at the point where data analytics meets applied AI — including production systems built on large language models. That path ran through the University of Maryland, College Park, and then through engineering work at JP Morgan and NASA, two places where a number being approximately right is not good enough.
It’s why LocalEyes measures the way it does. Knowing what a dataset can and cannot prove is the difference between a dashboard that flatters a campaign and one that tells you where the money actually went. The same engineering discipline runs the AI video pipeline, so the tooling is built in house rather than bolted together from whatever platform is trending this quarter.