Data and machine learning engineer in Houston.

Solar timekeeping

• A time system in which noon occurs when the sun is directly overhead, computed from your exact latitude and longitude rather than fixed time zones.
• Applies the equation of time to correct for Earth's elliptical orbit. Each degree of longitude shifts the clock by four minutes, and no daylight saving adjustment is needed.

Streamlit · Python

• Interactive application tracking U.S. housing affordability using the inflation-adjusted Case-Shiller Home Price Index across major cities.
• Models the real cost of ownership against 30-year and 15-year fixed mortgage rates. Findings published as “Priced Out: Why Homes Are More Expensive Than Ever Before.”

Enterprise Products Partners · Houston, TX

Enterprise Products Partners · Houston, TX

• Led development of the quantitative machine learning framework used by data scientists to explore, train, and deploy trading models.
• Designed data pipelines and set data standards that reduce complexity, minimize failure points, and ensure scalability.
• Maintained and monitored data quality and integrity across pipelines.
• Automated data processing tasks to increase efficiency and accuracy.

Great Learning / UT Austin, McCombs School of Business · Austin, TX

• Taught foundational Python programming, advanced machine learning techniques, neural networks, computer vision, and natural language processing.
• Used Jupyter Notebooks for live coding demonstrations covering model development, neural network optimization, and data visualization.
• Mentored students in supervised and unsupervised learning, transfer learning, and attention mechanisms for complex AI projects.
• Oversaw professional portfolios demonstrating statistical learning, model tuning, and prompt engineering with large language models.

Enterprise Products Partners (Contract) · Houston, TX

• Built applications to average and interpolate real-time temperature data from sensors in brazed aluminum heat exchangers, feeding multiple ETL pipelines used for data modeling, ad-hoc analysis, data historians, and BI dashboards.
• Worked with the data science team to productionize data wrangling code in Python and operationalize Keras multilayer perceptron neural networks.
• Implemented data flows connecting OSI Pi, MapR, InfluxDB, and PowerBI using Python, Scala, Spark, Drill, StreamSets, Kafka, and SQL.
• Scheduled all ETL jobs and near-time applications on a containerized Airflow deployment, defining DAGs for most workflows.
• Developed data-intensive applications with APIs and streaming data pipelines.
• Assisted analysts and data scientists with query optimization and performance tuning.

Sanchez Oil and Gas · Houston, TX

• Set up Airflow with PostgreSQL and Celery as the workflow scheduler, defining DAGs for many of our workflows.
• Created and dockerized a solution ingesting SCADA data into a distributed JSON database (MapR-DB), produced to a real-time topic consumed by other applications.
• Developed a real-time operational alert system consuming multiple topics and writing to a time-series database (InfluxDB), read by microservices that fired alerts on predefined conditions.
• Built batch ETL services extracting public well data and Sanchez field data for the data science and operations teams.
• Built an automation tool to ingest flowback emails in spreadsheet format, parsing and writing them to their corresponding SQL tables.

University of Houston, Computer Science Department · Houston, TX

• Taught Introduction to Computer Science and Computer Science and Programming, leading weekly labs of 25 students and holding office hours.
• Researched classification of mixed-language usage by Hispanic populations in social media, collecting data via APIs and web crawlers, then tokenizing and classifying it at scale.

NetIQ · Houston, TX

• Generated reports with JasperSoft for the Access Review Database, working in a scrum team alongside software, data, and DevOps engineers on automation that cut manual reporting time.

University of Houston · Houston, TX

• Graduated summa cum laude, 3.95/4.00 GPA.
• Computer Science Department Valedictorian; Dean's List, four semesters.

• Astronomer Certification for Apache Airflow 3 Fundamentals — Sep 2025
• Google Cloud Professional Data Engineer — Jul 2022 to Jul 2024
• Astronomer Certification for Apache Airflow 2 Fundamentals — Feb 2022