Emil Hvitfeldt
Software Engineer at Posit PBC
Artesia, California, United States
Summary
🤩
Rockstar🎓
Top SchoolEmil Hvitfeldt is a software engineer with 10 years of experience applying statistical rigor, data visualization, and machine learning to real-world problems at organizations like Posit and Teladoc Health. Trained in mathematics and statistics at the University of Copenhagen, he moves comfortably from linear models to convolutional and recurrent neural nets while favoring interpretable, well-documented workflows. At Posit he blends engineering and data-science tooling, and his open-source work in the tidymodels ecosystem (notably contributions to recipes) and an actively maintained R color-palettes project demonstrate a strong focus on reproducible, user-friendly visualization. He is skilled in R (tidyverse, ggplot2), SQL, and a broad set of statistical techniques, and he often bridges the gap between research code and production-ready features. Known for improving documentation, examples, and visualization tooling, he brings an eye for design and pedagogy to complex modeling tasks. Based in Artesia, California, Emil pairs deep theory with practical engineering to make data easier to understand and act on.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Københavns Universitet - University of Copenhagen
Danish, English
Github Skills (8)
data-preprocessing10
documentation10
r10
website-development9
feature-engineering9
javascript5
html5
css5
Programming languages (15)
Github contributions (5)
EmilHvitfeldt/r-color-palettes
Mar 2018 - Nov 2021
Comprehensive list of color palettes available in R ❤️🧡💛💚💙💜
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:53 commits, 8 PRs, 44 pushes in 3 years 9 months
Contributions summary:Emil made several commits related to enhancing the functionality and presentation of color palettes available in R. They updated plotting functions, integrating the `paletteer` package for improved palette visualization. Further contributions included redrawing type sorted palettes and initializing and updating a website for the project, indicating involvement in both the R package itself and its documentation/presentation. They also updated the data file for the website.
palette-generationrstatspalettecomprehensivecolor-palette
tidymodels/recipes
Sep 2018 - Jan 2023
Pipeable steps for feature engineering and data preprocessing to prepare for modeling
Role in this project:Data Scientist
Data ScientistContributions:3 releases, 228 reviews, 259 commits in 4 years 4 months
Contributions summary:Emil primarily contributed to the documentation and examples for the `recipes` package, focusing on feature engineering and data preprocessing steps. They implemented documentation for internal functions and provided an example using `imp_vars`. The user also introduced functionality to check name collisions, demonstrating a strong grasp of data preprocessing workflow development, and its integration within the tidymodels ecosystem.
pythondata-preprocessingmachine-learningengineeringprepare
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