Julia Signell
Senior Software Developer at Element 84
Providence, Rhode Island, United States
Summary
🤩
Rockstar🎓
Top SchoolJulia Signell is a Senior Software Developer with 11 years of experience building full-stack web applications and open-source tools, specializing in geospatial data analysis and visualization. Based in Providence, she blends Python and JavaScript expertise to contribute core features to projects like xarray, datashader, and Cartopy, and has improved front-end interactivity in Bokeh and Panel. Her work spans distributed data science platforms, API and serialization design, and test automation, reflecting a strong attention to reliability and reproducibility. At Element 84 she balances production Django/React work with developing open-source best practices for scientists, and previously led open-source initiatives at Saturn Cloud. Less obvious: she frequently bridges domain science and tooling—adding GIS-aware plotting, CRS handling, and xarray integration that make large-scale environmental datasets easier to analyze and visualize.
12 years of coding experience
3 years of employment as a software developer
Bachelor of Science (BS), Engineering, Bachelor of Science (BS), Engineering at Smith CollegeStudy Abroad, Environmental Science, Study Abroad, Environmental Science at School for Field StudiesFalmouth Academy
Italian, French
Github Skills (60)
data-visualizations10
scheduled-tasks10
javascript10
csv-parse10
visualization10
tab-panel10
bokeh10
learn-ruby-on-rails10
pytest10
py10
python10
data-science10
matplotlib10
testing10
user-manual10
Programming languages (15)
Github contributions (5)
intake/intake
Sep 2018 - Jun 2020
Intake is a lightweight package for finding, investigating, loading and disseminating data.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 169 commits, 35 PRs in 1 year 9 months
Contributions summary:Julia contributed significantly to the Intake project by refactoring and expanding the functionality of the CSV data source. They added new features, including pattern-based filename parsing and handling, and improved the overall maintainability of the code by adding more docstrings. Furthermore, the user worked on improving the reliability of the data source by setting up mechanisms for proper handling of potential errors.
pythondata-sciencedata-accessfindingsinger
dask/dask-tutorial
Feb 2021 - Jan 2023
Dask tutorial
Role in this project:Technical Writer & Data Scientist
Technical Writer & Data ScientistContributions:2 reviews, 26 commits, 24 PRs in 2 years
Contributions summary:Julia focused on improving the Dask tutorial documentation and code examples. They updated the tutorial to reflect changes in the default branch, fixed table of contents generation issues, and added essential dependencies for the tutorials to the README. They also updated the tutorial to hide solution cells, corrected a sentence fragment, and added more about retries to the futures notebook.
dask
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.