AI Engineer · Data Scientist · Former Trauma Nurse

Chris
Teceno

Developing human-centric AI for healthcare,
rooted in frontline clinical experience.

↗ GitHub LinkedIn Email
Chris Teceno
8 Years
USAF
10 Years
Trauma
10+ Years
Coding
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01

About

I'm a data scientist and software engineer with a background most people in tech don't have.

Six years as a trauma nurse. 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.

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.

Based in Austin, TX. Johns Hopkins · Codeup · CCAF · USAF.

02

Work

Featured
↗ Live Demo Source

Clinical Note
Intelligence Pipeline

End-to-end NLP pipeline that processes unstructured clinical notes into structured, actionable medical data. Uses LLMs to extract diagnoses, procedures, and medications — turning free-text documentation into data that drives analytics and decision support.

MTSamples 5,000 Notes PySpark Ingestion Claude API LLM Extraction CMS 2025 ICD-10 Match Streamlit Dashboard
82% Dx F1
56% Px F1
48% Rx F1
PySpark Claude API Streamlit Databricks Python
01

POS System

Production restaurant point-of-sale with order management, menu config, and real-time reporting.

React Node.js MySQL
02

NLP Language Classification

Classifies programming languages from GitHub README content using text features and ML.

Python NLP scikit-learn
03

Life and Death

CDC mortality forecasting using time series analysis and Prophet to predict public health trends.

Python Prophet Time Series
04

Lyrical Evolution

NLP analysis of Billboard Hot 100 lyrics over decades — how language and sentiment in music have shifted.

Python NLP Visualization
03

Path

2023 – Now

AI Engineer

Independent

Building applied AI systems for clinical data — LLM extraction pipelines, ICD-10 validation, full-stack applications with PySpark, Claude API, and Databricks.

2022 – 2023

Data Scientist

Radion Health

ML pipelines and data products for healthcare analytics, bridging data science and medical practice.

2021 – 2022

Data Science

Codeup

Intensive program — statistics, ML, NLP, distributed computing. End-to-end projects from acquisition through deployment.

Career Pivot
2015 – 2021

Trauma Nurse

Travel Nursing

Critical care in high-acuity trauma settings. Deep understanding of clinical workflows, EHR systems, and healthcare data challenges.

2009 – 2016

Medic / Instructor

United States Air Force

Combat medic and medical instructor. Led training programs in high-stakes environments requiring precision and rapid decision-making.

04

Stack

Python PySpark SQL Machine Learning NLP LLMs Clinical Data ICD-10 Streamlit React Node.js ETL Pipelines Databricks Data Visualization Health Informatics

Let's build
something.

Open to opportunities in AI engineering, clinical informatics, and health data science.

Email [email protected] GitHub github.com/ChrisTeceno LinkedIn linkedin.com/in/christeceno