Aeris Zhong

I evaluate AI outputs the way a lawyer reviews evidence — checking for gaps in logic, factual drift, and language that almost means something but doesn't. A legal studies background trained me to reason backwards from outcomes, organize complex information into structured systems, identify recurring patterns, and build repeatable analytical frameworks. Building three AI-powered products put those habits to work on real problems. I bring both lenses to every evaluation task.