Eric Chuu is a data scientist with a PhD in Statistics and a decade of experience building production-grade AI and statistical systems for high-stakes risk and fintech domains. He specializes in fine-tuning GenAI/LLMs for compliance workflows, deploying graph-based entity resolution and fraud detection pipelines, and applying rigorous Bayesian and variational inference to validate models beyond conventional benchmarks. At Quantifind and Apple he engineered AML/KYC tooling, RAG search over unstructured financial data, and synthetic weakly supervised pipelines that measurably improved detection precision. Now at Middesk he’s focused on next-generation AI infrastructure for business verification, blending research-grade statistical rigor with full-stack production delivery. Colleagues rely on him to translate complex probabilistic methods into scalable, auditable systems that perform in adversarial, data-sparse settings.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Statistics, Doctor of Philosophy - PhD Statistics at Texas A&M University
Contributions:63 commits, 61 pushes, 1 branch in 6 months
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