Kyle Lee

About Kyle Lee

I build AI systems that help government agencies and enterprises make better decisions from complex data. Currently at Elder Research, I lead GenAI prototyping and document intelligence solutions for federal clients-translating stakeholder pain points into scalable ML pipelines. My work spans NLP, retrieval-augmented generation (RAG), and cloud infrastructure (AWS/Azure/Databricks). Before this, I spent 2+ years at the FDA, where I reviewed clinical trials and built R Shiny applications that earned the Center Director\'s Special Citation. That experience taught me how to bridge rigorous statistical methods with real operational constraints.What drives me: the questions that spark discovery. Whether it\'s parsing unstructured documents at scale or designing Bayesian models, I focus on solutions that actually ship.

Experience

1. Senior Data Scientist Client Engagement Manager

   Elder Research

   May 2025 — Present · Arlington, VA, US

   Architect document intelligence and GenAI solutions using Azure Document Intelligence, Streamlit, and retrieval-augmented generation (RAG), enabling automated processing of diverse file types and accelerating stakeholder decision-making for federal clients.Apply ML/AI techniques across varied data modalities—including time series, NLP, and classification—to deliver tailored solutions for government and homeland security clients.Establish infrastructure-as-code (IaC) standards using Terraform for Databricks environments and manage enterprise AWS Databricks infrastructure, improving cost efficiency and enabling organization-wide training.Serve as primary technical liaison between data science teams and federal stakeholders, translating ambiguous business requirements into deployed solutions across the full project lifecycle—from business development and proposal writing through technical design, development, and client communication.Lead the Homeland Innovation Lab, spearheading GenAI and LLM initiatives that have produced multiple client-ready prototypes. Serve on the company-wide Innovation Lab Council supporting cross-business-unit technical strategy.Founded and facilitated the Homeland Fireside Chat series, creating a recurring forum for technical knowledge sharing and professional development.Mentor junior data scientists through code reviews and architectural guidance. Deliver internal technical talks and white papers contributing to Elder Research\'s thought leadership.

Education

• San Diego State University

  Master of Science - MS, Statistics

• UC San Diego

  Bachelor of Science - BS, Statistics and Probability, Minors in Computer Science and Finance

• Georgia Institute of Technology

  Computer Science

Skills

• R
• Public Speaking
• Mathematical Programming
• Microsoft Office
• C++
• Python
• Latex
• Data Analysis
• Teaching
• Research
• Educational Leadership
• C
• Graphic Design
• Statistical Modeling
• Java
• Social Media