Sindunuraga Putra
Staff Software Engineer, Platform
Randstad, Netherlands
Summary
👤
Senior🎓
Top SchoolSindunuraga Putra is a Staff Software Engineer with a decade of experience building backend platforms, developer experience, and operational tooling across fast-growing product teams. He has led AI platform development and developer enablement efforts at Quinyx and Miro, and now focuses on scaling platform operations at Zscaler. Equally comfortable in code and infrastructure, he blends DevOps rigor with backend engineering to codify best practices and reduce technical debt. An active contributor to matplotlib, he brings an attention to maintainability and visualization internals that hints at care for developer-facing libraries. Based in the Randstad, he pairs a Delft MSc in Computer Science with hands-on team leadership and a track record of enabling teams to deliver reliably at scale.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Institut Teknologi Sepuluh Nopember (ITS)Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Delft University of Technology
English, Indonesian
Github Skills (8)
data-visualizations10
data-visualization10
data-visualisation10
refactoring10
python10
plot10
data-science10
matplotlib10
Programming languages (6)
Github contributions (5)
matplotlib/matplotlib
Mar 2017 - Mar 2017
matplotlib: plotting with Python
Role in this project:
Software Engineer (focus on Visualization and Library Development)
Software Engineer (focus on Visualization and Library Development)Contributions:13 commits, 3 PRs, 5 comments in 9 days
Contributions summary:Sindunuraga primarily contributed to the `matplotlib` library by refactoring and optimizing existing code related to marker styles and visual elements. This involved restructuring and consolidating redundant code blocks within the `markers.py` module, such as the handling of line styles and caret shapes. Additionally, the user addressed issues and made minor improvements to code used in colorbar generation and example visualizations. These changes suggest a focus on improving code maintainability and efficiency within the core library functionalities.
pythondata-sciencegtkdata-visualizationplotting
delftswa2017/matplotlib
Feb 2017 - Jul 2022
matplotlib: plotting with Python
Contributions:1 review, 1 PR, 15 pushes in 5 years 5 months
chord-diagrampythonplotlymatplotlibplotting
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