pabloprf/MITIM-fusion
Oct 2024 – Jun 2026
10 Months active
Languages Used
PythonRSTShell
Technical Skills
File HandlingFile handlingPath handlingPath managementPythonPython scripting
audreysa
PROFILE
Audreysa
Worked extensively on the MITIM-fusion repository, delivering end-to-end workflow automation, robust file and path management, and scalable batch job execution for scientific computing. Leveraged Python, Shell scripting, and SLURM to modernize path handling with pathlib, automate directory cleanup, and enhance job scheduling reliability. Improved data visualization and analysis by refining plotting tools and ensuring accurate parameter handling, while strengthening error handling and test infrastructure to reduce maintenance overhead. Focused on reproducibility and operational efficiency, implemented defensive programming for legacy cases and large-scale runs, and maintained comprehensive documentation to streamline onboarding and support ongoing development across complex, high-performance computing workflows.
Overall Statistics
Feature vs Bugs
62%Features
Repository Contributions
45Total
Bugs
8
Commits
45
Features
13
Lines of code
293,159
Activity Months10
Your Network
128 peopleShared Repositories
16
Aaron HoMember
Aaron HoMember
AMartinSanabriaMember
AMartinSanabriaMember
audreysaMember
audreysaMember
audreysaMember
Garud SnoepMember
jo-hallMember
Work History
June 2026
4 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for MITIM-fusion (pabloprf). Focused on stabilizing and scaling production runs through targeted robustness fixes in numerical workflows and enhancements to job management and logging. The work improved reliability, reproducibility, and operational efficiency, setting a stronger foundation for handling legacy cases and larger-scale runs.
4 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for MITIM-fusion (pabloprf). Focused on stabilizing and scaling production runs through targeted robustness fixes in numerical workflows and enhancements to job management and logging. The work improved reliability, reproducibility, and operational efficiency, setting a stronger foundation for handling legacy cases and larger-scale runs.
June 2026
May 2026
3 Commits • 1 Features
May 1, 2026May 2026 performance summary for pabloprf/MITIM-fusion. Key features delivered include MAESTRO MITIM workflow enhancements with a new cleanup script and richer mitim_plot_eq visualizations that incorporate a zeta parameter, improving structure, usability, and parameter visualization. A major bug fix preserved input.separatrix.gacode during cleanup to prevent MAESTRO run breaks. Overall, these changes increased reliability, reduced operational risk, and enhanced data exploration for decision making. Demonstrated proficiency in automation, Python scripting, data visualization, and safe maintenance workflows, all aligned with improving business outcomes and product stability.
May 2026
3 Commits • 1 Features
May 1, 2026May 2026 performance summary for pabloprf/MITIM-fusion. Key features delivered include MAESTRO MITIM workflow enhancements with a new cleanup script and richer mitim_plot_eq visualizations that incorporate a zeta parameter, improving structure, usability, and parameter visualization. A major bug fix preserved input.separatrix.gacode during cleanup to prevent MAESTRO run breaks. Overall, these changes increased reliability, reduced operational risk, and enhanced data exploration for decision making. Demonstrated proficiency in automation, Python scripting, data visualization, and safe maintenance workflows, all aligned with improving business outcomes and product stability.
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 (MITIM-fusion): Delivered MITIM Clean Maestro: Directory Cleanup Tool to automate directory cleanup, improving file management within the MITIM project. Impact includes reduced manual cleanup time and better project hygiene, enabling smoother maintenance workflows. No major bugs fixed this month; focus was on delivering a reliable tool and laying groundwork for future automation. Repository: pabloprf/MITIM-fusion; key commit: c29df9e082d47de648cdbb4292a0470071d97431.
1 Commits • 1 Features
Apr 1, 2026April 2026 (MITIM-fusion): Delivered MITIM Clean Maestro: Directory Cleanup Tool to automate directory cleanup, improving file management within the MITIM project. Impact includes reduced manual cleanup time and better project hygiene, enabling smoother maintenance workflows. No major bugs fixed this month; focus was on delivering a reliable tool and laying groundwork for future automation. Repository: pabloprf/MITIM-fusion; key commit: c29df9e082d47de648cdbb4292a0470071d97431.
April 2026
October 2025
6 Commits • 3 Features
Oct 1, 2025October 2025 focused on expanding end-to-end modeling capabilities and improving reliability across MITIM-fusion workflows. Implemented zeta-aware EPEDbeat, preserved real frequencies in GACODE plots, enabled MAESTRO FIBE support with correct I/O, and hardened path handling for to_geqdsk, delivering more flexible analyses and more robust automation.
October 2025
6 Commits • 3 Features
Oct 1, 2025October 2025 focused on expanding end-to-end modeling capabilities and improving reliability across MITIM-fusion workflows. Implemented zeta-aware EPEDbeat, preserved real frequencies in GACODE plots, enabled MAESTRO FIBE support with correct I/O, and hardened path handling for to_geqdsk, delivering more flexible analyses and more robust automation.
September 2025
3 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for pabloprf/MITIM-fusion: Delivered key enhancements to SLURM integration and EPED plotting, improving reliability of batch submissions and clarity of data visualizations. Implemented an optional run_slurm wait mode, fixed a critical job-naming bug, and enhanced EPED plots with refined labels, legend handling, numeric sublabel sorting, and NaN handling for missing values. These changes reduce operational ambiguity, enable more accurate performance assessments, and demonstrate strong Python development, SLURM integration, and data visualization skills.
3 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for pabloprf/MITIM-fusion: Delivered key enhancements to SLURM integration and EPED plotting, improving reliability of batch submissions and clarity of data visualizations. Implemented an optional run_slurm wait mode, fixed a critical job-naming bug, and enhanced EPED plots with refined labels, legend handling, numeric sublabel sorting, and NaN handling for missing values. These changes reduce operational ambiguity, enable more accurate performance assessments, and demonstrate strong Python development, SLURM integration, and data visualization skills.
September 2025
August 2025
5 Commits • 1 Features
Aug 1, 2025Month: 2025-08 — MITIM-fusion: Focused on automation reliability and configuration robustness. Implemented a non-interactive handling policy for the query_yes_no prompt to prevent hangs in automated workflows, with auto-respond in non-interactive environments and explicit error signaling for non-interactive runs (notably under SLURM). Hardened MAESTRO namelist parsing to ensure eped_initializer uses the eped_beat namelist when available, corrected control-flow handling for different beat types, and ensured changes are properly saved. These improvements reduce manual intervention, improve reproducibility of simulations, and strengthen batch/CI execution.
August 2025
5 Commits • 1 Features
Aug 1, 2025Month: 2025-08 — MITIM-fusion: Focused on automation reliability and configuration robustness. Implemented a non-interactive handling policy for the query_yes_no prompt to prevent hangs in automated workflows, with auto-respond in non-interactive environments and explicit error signaling for non-interactive runs (notably under SLURM). Hardened MAESTRO namelist parsing to ensure eped_initializer uses the eped_beat namelist when available, corrected control-flow handling for different beat types, and ensured changes are properly saved. These improvements reduce manual intervention, improve reproducibility of simulations, and strengthen batch/CI execution.
May 2025
3 Commits • 1 Features
May 1, 2025Month 2025-05: Delivered SLURM array execution capability and a usage tutorial, enabling parallel runs with varying seeds and improved batch management. Fixed robustness issue by guarding slurm_output reads in check_maestro.py to avoid failures when the file is missing. Impact: scalable, reliable batch experiments and faster onboarding for new users; demonstrated Python proficiency, SLURM scripting, and documentation practices.
3 Commits • 1 Features
May 1, 2025Month 2025-05: Delivered SLURM array execution capability and a usage tutorial, enabling parallel runs with varying seeds and improved batch management. Fixed robustness issue by guarding slurm_output reads in check_maestro.py to avoid failures when the file is missing. Impact: scalable, reliable batch experiments and faster onboarding for new users; demonstrated Python proficiency, SLURM scripting, and documentation practices.
May 2025
January 2025
4 Commits • 1 Features
Jan 1, 2025January 2025 MITIM-fusion monthly summary focusing on delivered features, fixed issues, and resulting business impact. Highlights include updated Shell Scripts Documentation, restoration of script runability by fixing a MAESTRO_workflow.py syntax error, and robustness improvements for folder deletion in TGYROtools.py. These changes improve automation, reliability, and onboarding efficiency, with measurable decreases in manual troubleshooting and downtime.
January 2025
4 Commits • 1 Features
Jan 1, 2025January 2025 MITIM-fusion monthly summary focusing on delivered features, fixed issues, and resulting business impact. Highlights include updated Shell Scripts Documentation, restoration of script runability by fixing a MAESTRO_workflow.py syntax error, and robustness improvements for folder deletion in TGYROtools.py. These changes improve automation, reliability, and onboarding efficiency, with measurable decreases in manual troubleshooting and downtime.
November 2024
10 Commits • 1 Features
Nov 1, 2024Month 2024-11 – MITIM-fusion: Implemented a unified pathlib-based path handling refactor across multiple workflows (TRANSP, MAESTRO, VITALS, EPEDbeat, MAESTRObeat, MAESTROplot, TRANSPbeat, PORTALSbeat). Replaced ad-hoc string joins with robust Path operations, improved CDF discovery, and strengthened cross-platform reliability and error handling to reduce path-related failures in data processing and plotting. Verified workflow execution paths and plotting readiness, setting the stage for more stable automation and reproducible results.
10 Commits • 1 Features
Nov 1, 2024Month 2024-11 – MITIM-fusion: Implemented a unified pathlib-based path handling refactor across multiple workflows (TRANSP, MAESTRO, VITALS, EPEDbeat, MAESTRObeat, MAESTROplot, TRANSPbeat, PORTALSbeat). Replaced ad-hoc string joins with robust Path operations, improved CDF discovery, and strengthened cross-platform reliability and error handling to reduce path-related failures in data processing and plotting. Verified workflow execution paths and plotting readiness, setting the stage for more stable automation and reproducible results.
November 2024
October 2024
6 Commits • 1 Features
Oct 1, 2024During 2024-10, delivered core improvements to the MITIM-fusion TGLF workflow by standardizing path handling with pathlib across CONFIGread, TGLFtools, and related setup scripts, and by strengthening test infrastructure for robust directory creation and cleanup. These changes improve readability, reduce file-path errors, and enable more reliable test execution, setting the stage for faster iteration and easier maintenance.
October 2024
6 Commits • 1 Features
Oct 1, 2024During 2024-10, delivered core improvements to the MITIM-fusion TGLF workflow by standardizing path handling with pathlib across CONFIGread, TGLFtools, and related setup scripts, and by strengthening test infrastructure for robust directory creation and cleanup. These changes improve readability, reduce file-path errors, and enable more reliable test execution, setting the stage for faster iteration and easier maintenance.
Activity
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Quality Metrics
Correctness90.0%
Maintainability88.4%
Architecture83.2%
Performance81.4%
AI Usage23.2%
Skills & Technologies
Programming Languages
PythonRSTShell
Technical Skills
AutomationBackend DevelopmentBug FixBug FixingCode RefactoringConfiguration ManagementData AnalysisData VisualizationData processingDebuggingDocumentationError HandlingFile HandlingFile I/OFile Management
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