AstarVienna/METIS_Pipeline
Nov 2024 – Mar 2026
7 Months active
Languages Used
MarkdownPythonYAMLGitShell
Technical Skills
CI/CDCode RefactoringConfiguration ManagementData ReductionDocumentation UpdatePipeline Development
Chi-Hung Yan
PROFILE
Chi-hung Yan
Worked on the AstarVienna/METIS_Pipeline, delivering end-to-end development and maintenance of an astronomy data processing pipeline. Over seven months, contributed features such as modular workflow refactoring, automated data classification, and expanded support for imaging and calibration modes. Applied Python, YAML, and Git to implement CI/CD automation, robust input handling, and data integrity checks, ensuring reproducible and reliable processing. Addressed critical bugs affecting runner stability and data grouping, using targeted configuration management and code hygiene practices. Enhanced documentation and repository hygiene to streamline onboarding and maintenance. The work emphasized maintainability, automation, and scientific accuracy across the pipeline’s evolving architecture.
Overall Statistics
Feature vs Bugs
76%Features
Repository Contributions
77Total
Bugs
11
Commits
77
Features
34
Lines of code
2,078
Activity Months7
Your Network
18 peopleSame Organization
@asiaa.sinica.edu.tw5
Shared Repositories
13
Benjamin EiseleMember
eiseleb47Member
Gilles OttenMember
Hugo BuddelmeijerMember
janusbrinkMember
JenniferKarrMember
eiseleb47Member
WKMember
Kieran LeschinskiMember
Work History
March 2026
1 Commits
Mar 1, 2026March 2026 METIS_Pipeline: Focused on stability and data integrity through targeted bug fix; restored correct grouping keywords for data sources and ensured downstream analytics remain accurate. No new features delivered this month; bug fix prioritized to preserve data quality and trust in dashboards.
1 Commits
Mar 1, 2026March 2026 METIS_Pipeline: Focused on stability and data integrity through targeted bug fix; restored correct grouping keywords for data sources and ensured downstream analytics remain accurate. No new features delivered this month; bug fix prioritized to preserve data quality and trust in dashboards.
March 2026
February 2026
1 Commits
Feb 1, 2026Month 2026-02 focused on stabilizing the METIS_Pipeline runner and ensuring reliability of the data processing pipeline.
February 2026
1 Commits
Feb 1, 2026Month 2026-02 focused on stabilizing the METIS_Pipeline runner and ensuring reliability of the data processing pipeline.
November 2025
33 Commits • 20 Features
Nov 1, 2025November 2025 METIS_Pipeline: This month focused on enabling CI readiness, strengthening reliability, and broadening feature capabilities. Key outcomes include CI automation setup, data validation, consistent time handling, and substantial feature expansions that drive deployment speed and data integrity across the pipeline.
33 Commits • 20 Features
Nov 1, 2025November 2025 METIS_Pipeline: This month focused on enabling CI readiness, strengthening reliability, and broadening feature capabilities. Key outcomes include CI automation setup, data validation, consistent time handling, and substantial feature expansions that drive deployment speed and data integrity across the pipeline.
November 2025
February 2025
9 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary for AstarVienna/METIS_Pipeline. The month focused on code health, input handling enhancements, critical bug fixes, and CI/CD automation to strengthen the METIS EDPS workflow. Delivered value through code hygiene, robust data processing, and reliable deployment/testing pipelines that reduce maintenance overhead and accelerate feature delivery.
February 2025
9 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary for AstarVienna/METIS_Pipeline. The month focused on code health, input handling enhancements, critical bug fixes, and CI/CD automation to strengthen the METIS EDPS workflow. Delivered value through code hygiene, robust data processing, and reliable deployment/testing pipelines that reduce maintenance overhead and accelerate feature delivery.
January 2025
19 Commits • 5 Features
Jan 1, 2025January 2025 METIS_Pipeline: Delivered a modular refactor and baseline workflow, extended image processing capabilities to sky and science targets, introduced distortion calibration workflows, added standard star processing and flux calibration, and completed documentation updates. No major blocking bugs were reported; refactors and new workflows significantly improve maintainability, reproducibility, and science readiness while enabling faster iterations and deployment. Business value is demonstrated by a cleaner architecture, clearer data/model separation, and end-to-end processing coverage for LM imaging, sky targets, and distortion-aware calibrations.
19 Commits • 5 Features
Jan 1, 2025January 2025 METIS_Pipeline: Delivered a modular refactor and baseline workflow, extended image processing capabilities to sky and science targets, introduced distortion calibration workflows, added standard star processing and flux calibration, and completed documentation updates. No major blocking bugs were reported; refactors and new workflows significantly improve maintainability, reproducibility, and science readiness while enabling faster iterations and deployment. Business value is demonstrated by a cleaner architecture, clearer data/model separation, and end-to-end processing coverage for LM imaging, sky targets, and distortion-aware calibrations.
January 2025
December 2024
8 Commits • 4 Features
Dec 1, 2024December 2024 monthly summary for AstarVienna/METIS_Pipeline: Focused on improving repository hygiene, enabling automated data classification, and clarifying environment setup to accelerate reproducible METIS data processing. No major bug fixes reported this month; work emphasizes long-term maintainability, automation readiness, and clearer documentation, contributing to faster onboarding and more reliable pipelines.
December 2024
8 Commits • 4 Features
Dec 1, 2024December 2024 monthly summary for AstarVienna/METIS_Pipeline: Focused on improving repository hygiene, enabling automated data classification, and clarifying environment setup to accelerate reproducible METIS data processing. No major bug fixes reported this month; work emphasizes long-term maintainability, automation readiness, and clearer documentation, contributing to faster onboarding and more reliable pipelines.
November 2024
6 Commits • 2 Features
Nov 1, 2024November 2024 performance summary for METIS_Pipeline (AstarVienna). Delivered key feature work and reliability improvements across the METIS_Pipeline, with a focus on naming consistency, calibration processing, and CI/CD enhancements. The changes improved data quality, reproducibility, and overall pipeline reliability, enabling smoother operations and clearer maintenance paths.
6 Commits • 2 Features
Nov 1, 2024November 2024 performance summary for METIS_Pipeline (AstarVienna). Delivered key feature work and reliability improvements across the METIS_Pipeline, with a focus on naming consistency, calibration processing, and CI/CD enhancements. The changes improved data quality, reproducibility, and overall pipeline reliability, enabling smoother operations and clearer maintenance paths.
November 2024
Activity
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Quality Metrics
Correctness90.4%
Maintainability90.2%
Architecture88.8%
Performance83.4%
AI Usage20.2%
Skills & Technologies
Programming Languages
GitMarkdownPythonShellYAML
Technical Skills
Astronomy SoftwareAstronomy Software DevelopmentAutomationBackend DevelopmentBug FixBug FixingCI/CDCode MaintenanceCode RefactoringConfigurationConfiguration ManagementContinuous IntegrationData CalibrationData ClassificationData Pipeline Development
Repositories Contributed To
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