Summary
Kyle Lee is a Senior Data Scientist and Client Engagement Manager with nine years of experience building AI and ML systems for government and enterprise clients, currently leading GenAI, document parsing, and scalable model deployment at Elder Research. He combines hands-on engineering—developing RAG prototypes, Azure Document Intelligence pipelines, and Databricks/Terraform IaC—with stakeholder-facing delivery and mentorship, translating complex requirements into reproducible, governed analytics environments. His background in biostatistics and Bayesian modeling at the FDA gives him deep domain expertise in rigorous evaluation and regulatory contexts. Equally comfortable in R and Python, he has a track record of productionizing NLP workflows using Hugging Face and retrieval augmentation to solve operational pain points. Based in Virginia, he balances a technical focus with client leadership and a creative side as a developer who also composes and codes in his spare time.
9 years of coding experience
6 years of employment as a software developer
University of California San Diego
Computer Science, Computer Science at Georgia Institute of Technology
Master of Science - MS, Statistics, Master of Science - MS, Statistics at San Diego State University
French, Tagalog