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Andrew Jewett

PROFILE

Andrew Jewett

Andrew Jewett contributed to the flexcompute/tidy3d repository by delivering stability and fidelity improvements to the plotting subsystem and enhancing geometry handling for intersection-defined shapes. He addressed critical visualization bugs by refining arrow scaling logic and introducing geometric cleanup routines, which improved the reliability of data visualization. In addition, Andrew implemented flexible boundary configuration, improved validation messaging, and built an atomic download system with overwrite control, strengthening backend robustness and data integrity. His work, primarily in Python and Jupyter Notebook, demonstrated depth in backend development, data visualization, and error handling, resulting in more predictable performance and streamlined workflows for simulation software users.

Overall Statistics

Feature vs Bugs

60%Features

Repository Contributions

8Total
Bugs
2
Commits
8
Features
3
Lines of code
1,175
Activity Months2

Work History

July 2025

6 Commits • 3 Features

Jul 1, 2025

July 2025 monthly summary focused on stability, correctness, and automation across flexcompute/tidy3d and related notebooks. Delivered boundary handling improvements to relax PML/StablePML/Absorber requirements and to ignore boundary name differences in symmetry validation, implemented improved validation messages that include object names for clearer debugging, and built a reliable atomic download system with overwrite control to ensure data integrity. Also fixed a HeatSolver notebook integration issue to restore reliable tidy3d usage. These changes reduce setup failures, improve data quality, and accelerate issue resolution, enabling faster feature adoption and more predictable performance.

June 2025

2 Commits

Jun 1, 2025

June 2025 monthly summary for flexcompute/tidy3d: Delivered stability and fidelity improvements to the plotting subsystem, fixed critical visualization bugs, and enhanced geometry handling for shapes defined by intersection logic. The improvements increase visualization reliability, reduce user confusion, and pave the way for Version 2 readiness.

Activity

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Quality Metrics

Correctness90.0%
Maintainability90.0%
Architecture87.6%
Performance75.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

JinjaMarkdownPython

Technical Skills

API IntegrationBackend DevelopmentBug FixingCloud Storage IntegrationCode RefactoringData VisualizationError HandlingFile HandlingFile ManagementGeometry ProcessingJupyter NotebookNumerical MethodsPlottingPlotting LibrariesPython

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

flexcompute/tidy3d

Jun 2025 Jul 2025
2 Months active

Languages Used

JinjaMarkdownPython

Technical Skills

Data VisualizationGeometry ProcessingPlottingPlotting LibrariesPythonPython Development

flexcompute/tidy3d-notebooks

Jul 2025 Jul 2025
1 Month active

Languages Used

Python

Technical Skills

API IntegrationBug FixingJupyter Notebook

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