I'm a data scientist and software engineer with a background most people in tech don't have: six years as a trauma nurse and seven years as an Air Force medic and instructor. That clinical experience isn't a footnote on my resume — it's the lens through which I build AI systems that actually work in healthcare settings.
I combine deep domain expertise in clinical workflows with strong technical skills in machine learning, NLP, and data engineering. When I build a pipeline to process clinical notes or classify medical data, I understand what the end users need because I've been one of them — at the bedside, under pressure, making decisions with imperfect information.
I hold certificates in Data Science from Johns Hopkins and Codeup, an ADN from San Antonio College, and an associate degree from the Community College of the Air Force. Based in Austin, TX.
An end-to-end NLP pipeline that processes unstructured clinical notes into structured, actionable medical data. Uses large language models to extract diagnoses, procedures, medications, and clinical entities with high accuracy — turning free-text documentation into data that can drive analytics and decision support.
A production restaurant point-of-sale system with order management, menu configuration, and real-time reporting.
Natural language processing model that classifies programming languages from GitHub README content using text features and ML.
CDC mortality forecasting using time series analysis and Facebook Prophet to predict public health trends.
NLP analysis of Billboard Hot 100 lyrics over decades, exploring how language, sentiment, and themes in popular music have shifted.
Independent
Building applied AI systems for clinical data automation, including LLM-powered extraction pipelines, ICD-10 coding validation, and production web applications. Developing full-stack solutions with PySpark, Claude API, Streamlit, and Databricks.
Radion Health
Built ML pipelines and data products for healthcare analytics, leveraging clinical domain expertise to bridge the gap between data science and medical practice.
Codeup
Intensive data science program covering statistics, machine learning, NLP, and distributed computing. Built end-to-end projects from data acquisition through deployment.
Travel Nursing
Provided critical care in high-acuity trauma settings across multiple facilities. Developed deep understanding of clinical workflows, EHR systems, and the real-world challenges of healthcare data.
United States Air Force
Served as a combat medic and medical instructor. Led training programs and managed teams in high-stakes environments requiring precision, discipline, and rapid decision-making.
I'm open to opportunities in AI engineering, clinical informatics, and health data science. Let's talk.
