hiddenSymmetries/simsopt
May 2025 – Mar 2026
8 Months active
Languages Used
C++JAXPythonCMakeDockerfileYAML
Technical Skills
C++CalculusCode DocumentationCode FormattingCode RefactoringCode Renaming
Alan Kaptanoglu
PROFILE
Alan Kaptanoglu
Alana Kaptanoglu contributed to the hiddenSymmetries/simsopt repository by developing and refining features for scientific computing workflows, particularly in coil and magnetic field optimization. She applied Python and C++ to enhance numerical methods, stabilize CI/CD pipelines, and improve test coverage, focusing on robust error handling and validation. Her work included refactoring core APIs, integrating JAX-based routines, and expanding documentation to clarify usage and reduce onboarding friction. By addressing flaky tests and optimizing data processing for visualization and export, Alana improved reliability and maintainability. Her engineering approach emphasized reproducibility, modularity, and deterministic behavior, resulting in smoother development and deployment cycles.
Overall Statistics
Feature vs Bugs
53%Features
Repository Contributions
106Total
Bugs
17
Commits
106
Features
19
Lines of code
559,522
Activity Months8
Your Network
19 peopleShared Repositories
19
Work History
March 2026
4 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for hiddenSymmetries/simsopt. Delivered robustness and correctness improvements across coil optimization and data mapping, fixed flaky numerical tests, and expanded validation and defaults to improve usability and reliability. The work reduced CI failures, improved deterministic behavior, and enabled smoother workflows for coil configurations and export pipelines.
4 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for hiddenSymmetries/simsopt. Delivered robustness and correctness improvements across coil optimization and data mapping, fixed flaky numerical tests, and expanded validation and defaults to improve usability and reliability. The work reduced CI failures, improved deterministic behavior, and enabled smoother workflows for coil configurations and export pipelines.
March 2026
January 2026
9 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for hiddenSymmetries/simsopt: Key features delivered include (1) Robust Testing with Optional Dependencies, enabling conditional imports and test-skipping when optional dependencies (ground, bentley_ottmann) are unavailable; (2) Regularized Coil Framework for Enhanced Force/Torque Calculations, introducing RegularizedCoil and refactoring force computations to be methods of that class with expanded tests and import stability for the coil optimization workflow; and (3) Pareto Plot Data Handling Bug Fix, addressing NaN handling with improved validation and error handling. Major bug fixed: NaN-related issues in Pareto plot data processing, leading to more reliable visualizations. Overall impact: improved test resilience and CI stability, a cleaner, more maintainable coil optimization core, and higher confidence in Pareto-based analytics. This work reduces flaky tests, accelerates coil workflow iterations, and enhances data quality for decision-making. Technologies/skills demonstrated: Python test strategy (conditional imports, test skipping), CI/unit test resilience, object-oriented refactor (RegularizedCoil), unit testing, error handling and input validation, and data processing for optimization workflows.
January 2026
9 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for hiddenSymmetries/simsopt: Key features delivered include (1) Robust Testing with Optional Dependencies, enabling conditional imports and test-skipping when optional dependencies (ground, bentley_ottmann) are unavailable; (2) Regularized Coil Framework for Enhanced Force/Torque Calculations, introducing RegularizedCoil and refactoring force computations to be methods of that class with expanded tests and import stability for the coil optimization workflow; and (3) Pareto Plot Data Handling Bug Fix, addressing NaN handling with improved validation and error handling. Major bug fixed: NaN-related issues in Pareto plot data processing, leading to more reliable visualizations. Overall impact: improved test resilience and CI stability, a cleaner, more maintainable coil optimization core, and higher confidence in Pareto-based analytics. This work reduces flaky tests, accelerates coil workflow iterations, and enhances data quality for decision-making. Technologies/skills demonstrated: Python test strategy (conditional imports, test skipping), CI/unit test resilience, object-oriented refactor (RegularizedCoil), unit testing, error handling and input validation, and data processing for optimization workflows.
December 2025
49 Commits • 5 Features
Dec 1, 2025December 2025 monthly performance summary for hiddenSymmetries/simsopt. Focused on stabilizing the Python/runtime environment, hardening numerical solvers in CI, expanding test coverage, and improving CI reliability. This period delivered tangible business value through more reliable CI, reproducible environments, and robust numerical methods, enabling faster feedback and safer deployments.
49 Commits • 5 Features
Dec 1, 2025December 2025 monthly performance summary for hiddenSymmetries/simsopt. Focused on stabilizing the Python/runtime environment, hardening numerical solvers in CI, expanding test coverage, and improving CI reliability. This period delivered tangible business value through more reliable CI, reproducible environments, and robust numerical methods, enabling faster feedback and safer deployments.
December 2025
November 2025
16 Commits • 2 Features
Nov 1, 20252025-11 monthly summary for hiddenSymmetries/simsopt: Delivered key feature enhancements to coil optimization and visualization, strengthened Boozer surface tests, and hardened CI/CD to support Python 3.12 on Ubuntu 24.04. These efforts improved design iteration speed, ensured geometry/serialization correctness, and increased pipeline reliability, reducing debugging time and enabling more predictable releases.
November 2025
16 Commits • 2 Features
Nov 1, 20252025-11 monthly summary for hiddenSymmetries/simsopt: Delivered key feature enhancements to coil optimization and visualization, strengthened Boozer surface tests, and hardened CI/CD to support Python 3.12 on Ubuntu 24.04. These efforts improved design iteration speed, ensured geometry/serialization correctness, and increased pipeline reliability, reducing debugging time and enabling more predictable releases.
October 2025
2 Commits • 1 Features
Oct 1, 2025Month 2025-10 concise summary focusing on delivering high-impact enhancements to permanent magnet optimization workflows in the simsopt repository, with CI/workflow improvements and measurable performance gains.
2 Commits • 1 Features
Oct 1, 2025Month 2025-10 concise summary focusing on delivering high-impact enhancements to permanent magnet optimization workflows in the simsopt repository, with CI/workflow improvements and measurable performance gains.
October 2025
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for hiddenSymmetries/simsopt: Implemented API documentation and testing improvements for the Curve API alongside hardening the magnetic field calculation tests. These changes boost API clarity, reliability, and maintainability, enabling faster onboarding and safer deployments while reducing post-release defect risk.
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for hiddenSymmetries/simsopt: Implemented API documentation and testing improvements for the Curve API alongside hardening the magnetic field calculation tests. These changes boost API clarity, reliability, and maintainability, enabling faster onboarding and safer deployments while reducing post-release defect risk.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for hiddenSymmetries/simsopt: Key feature delivery centered on Curve API and Testing Improvements for Planar Toroidal Curves. Consolidated refactoring of curve and grid setup functions for clarity and correctness (including renaming jax_flag to use_jax_curve) and strengthened the testing suite with clearer error messages and refined jaxplanarcurve_pure function, accompanied by updated docstrings. This work reduces production-time errors, improves developer experience, and strengthens test coverage for planar toroidal curves across the codebase. Commits captured during this period include 870aba883783871454c15af03ed7a2efffee1f5b and dcf805c74418dd272200bda3cdabff993a3c1fd5.
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for hiddenSymmetries/simsopt: Key feature delivery centered on Curve API and Testing Improvements for Planar Toroidal Curves. Consolidated refactoring of curve and grid setup functions for clarity and correctness (including renaming jax_flag to use_jax_curve) and strengthened the testing suite with clearer error messages and refined jaxplanarcurve_pure function, accompanied by updated docstrings. This work reduces production-time errors, improves developer experience, and strengthens test coverage for planar toroidal curves across the codebase. Commits captured during this period include 870aba883783871454c15af03ed7a2efffee1f5b and dcf805c74418dd272200bda3cdabff993a3c1fd5.
June 2025
May 2025
21 Commits • 6 Features
May 1, 2025May 2025 Highlights for hiddenSymmetries/simsopt: Delivered key feature work, expanded test coverage, and improved code quality to stabilize numerical routines used in physics simulations and support maintainability for upcoming PRs.
May 2025
21 Commits • 6 Features
May 1, 2025May 2025 Highlights for hiddenSymmetries/simsopt: Delivered key feature work, expanded test coverage, and improved code quality to stabilize numerical routines used in physics simulations and support maintainability for upcoming PRs.
Activity
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Quality Metrics
Correctness87.0%
Maintainability85.0%
Architecture83.2%
Performance82.8%
AI Usage22.0%
Skills & Technologies
Programming Languages
C++CMakeDockerfileJAXPythonYAML
Technical Skills
C++CI/CDCalculusCode DocumentationCode FormattingCode QualityCode RefactoringCode RenamingContinuous DeploymentContinuous IntegrationData AnalysisData VisualizationData analysisDebuggingDevOps
Repositories Contributed To
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