Jonathan Rhone
Software Engineer
Miami, Florida, United States
Summary
🤩
Rockstar🎓
Top SchoolJonathan Rhone is a full-stack software engineer with 12 years of experience building everything from large-scale distributed systems to client-facing single-page apps. He has held engineering and leadership roles across startups and established companies—contributing to projects at Streamlit, TinyCo, Oracle, and multiple CTO stints—bringing both product intuition and systems-level rigor. At Streamlit he shipped front-end React components and enhanced data-app UX (including st.show and graphviz support), reflecting a strong bent toward developer tooling and data visualization. Based in Miami, Jonathan pairs a Brown Computer Science background with hands-on work in AI and DevOps, most recently focused on shipping reliable AI agents. Colleagues describe him as equally at home optimizing backends as iterating on polished UI widgets, and he’s known for making big-data engineering approachable (and occasionally taking strolls with “Ms. Peta Byte”).
12 years of coding experience
12 years of employment as a software developer
HS General, HS General at Deerfield AcademyScB Computer Science, ScB Computer Science at Brown UniversityCampion College
Github Skills (13)
javascript10
streamlit10
web-development10
front-end-development10
python10
react10
ui-design9
data-visualisation9
data-visualization9
data-visualizations9
uid9
data-analysis8
data-science8
Programming languages (3)
Github contributions (5)
streamlit/streamlit
May 2019 - Oct 2020
Streamlit — A faster way to build and share data apps.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:14 reviews, 184 commits, 160 PRs in 1 year 5 months
Contributions summary:Jonathan implemented and tested new experimental features for the Streamlit library, including `st.show()` for debugging purposes. They added support for displaying graphs with `st.graphviz_chart()`, incorporating a React component for rendering the charts. Furthermore, the user integrated Pandas styling functionality into `st.table()`, enhancing the table's presentation capabilities. They also worked on improving the widgets API and its frontend implementation with baseui components.
data-analysispythondata-sciencedeep-learningfastest
jrhone/streamlit-1
Aug 2019 - Oct 2020
Streamlit
Contributions:1 PR, 361 pushes, 93 branches in 1 year 1 month
pythonstreamlit
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