Open source work
- Currently working on the Positron IDE.
vetiver, Python package. MLOps framework for versioning, deploying, and monitoring models. Creator, maintainer. 2021-present.pins, Python package. Publish data, models, and other Python objects to different backends. Maintainer. 2023-present.paintnine, Python package. Make abstract art based off ofplotnine. Creator. 2022.- pyOpenSci, Open source organization. Review and guide others through peer-reviewing Python packages. Editor emeritus and reviewer, 2023-2025. Editor-in-Chief Emeritus, Winter 2024.
- Other contributions to projects such as Cline,
plotnine,great-tables, and more. See my GitHub.
Conference talks
- PyData NYC 2024: End-to-end data science with the Positron IDE
- SciPy 2024: From code to clarity, using Quarto for Python Documentation
- posit::conf() 2024: Exploratory Data Analysis with Python in Positron
- posit::conf() 2023: Thanks, I made it in quartodoc
- PyData NYC 2022: Holistic MLOps for better science
- Crunch 2022: Building an MLOps strategy from the ground up
- Berlin Buzzwords 2021: Explaining model explainability
Other speaking engagements
- Florida Poly DSBAA meetup 2025 Workshop: 0 to portfolio website, co-taught with Valentina Colorado
- posit::conf() 2024 Workshop: Intro to MLOps with vetiver, co-taught with Julia Silge
- R-Ladies Rome Meetup 2024: Extending the data science workflow: {vetiver} and {pins}
- PyData Global 2022: Practical MLOps for better models
- RStudio Meetup 2022: MLOps with vetiver in Python and R, co-presented with Julia Silge
- O’Reilly AI Superstream: MLOps 2022: Composable Tools for Robust MLOps Deployment
Education
- Bachelors of Science, Data Science from Florida Polytechnic University. Concentrated in quantitative economics and econometrics. Completed May 2021.
- Masters of Science, Computer Science from Florida Polytechnic University. Concentrated in data science. Completed May 2023.
Written work
- Evaluating the MLOps readiness of your team. Published on the Posit blog.
- Meta-Analysis of the Machine Learning Operations Open Source Ecosystem. 2023 International Conference on Machine Learning and Applications (ICMLA).