Robert moseley

At Equifax, I lead teams building agentic AI, entity-resolution benchmarking, and auditable data infrastructure across eight international markets. I designed an agent-based reporting system that reduced executive reporting from days to hours and an agentic EDA workflow for autonomous root-cause reasoning over billion-row datasets.

I previously led engineering and data science at Cymantix, where I built a six-person team and delivered production LLM APIs, vector database applications, and evaluation methods for U.S. Space Force programs. I also authored two successful Direct-to-Phase II SBIR proposals totaling $2.5M.

My computational biology background spans oncology drug-screening pipelines at Xilis, DARPA synthetic-biology infrastructure at Duke, and founding SimPath. I focus on making messy, domain-specific data reproducible, observable, and trustworthy enough for AI agents to act on.