GEECS-BELLA/GEECS-Plugins
Dec 2024 – Apr 2025
3 Months active
Languages Used
Jupyter NotebookPython
Technical Skills
AutomationControl SystemsData AnalysisPython ProgrammingScientific ComputingBeam Alignment
loasis
PROFILE
Loasis
Loasis developed automated beam alignment and pointing workflows for the GEECS-BELLA/GEECS-Plugins repository, focusing on reproducible calibration and device control. Using Python and Jupyter Notebooks, Loasis integrated hardware such as cameras and motion control stages, implemented calibration-based alignment functions, and optimized beampointing routines for speed and reliability. The work included real-time feedback via audio cues, robust logging, and a utility for background mask generation to support image processing tasks. By refactoring data handling and streamlining notebook workflows, Loasis improved automation, reduced manual calibration effort, and enhanced the reliability and throughput of scientific computing tasks in optical alignment.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
5
Lines of code
13,916
Activity Months3
Your Network
6 people
Work History
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for GEECS-Plugins (GEECS-BELLA/GEECS-Plugins). This month focused on stabilizing audio and logging, delivering automation improvements for beam-pointing, and enhancing user experience with an audio cue asset. Key outcomes include reliable audio playback, corrected target coordinate logging, and updated initial device positioning for data integrity, along with automated alignment enhancements and a new mask generation utility. Changes were integrated from feature branches into the main branch, with traceable commits reflecting progress and asset additions.
4 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for GEECS-Plugins (GEECS-BELLA/GEECS-Plugins). This month focused on stabilizing audio and logging, delivering automation improvements for beam-pointing, and enhancing user experience with an audio cue asset. Key outcomes include reliable audio playback, corrected target coordinate logging, and updated initial device positioning for data integrity, along with automated alignment enhancements and a new mask generation utility. Changes were integrated from feature branches into the main branch, with traceable commits reflecting progress and asset additions.
April 2025
February 2025
7 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for GEECS-Plugins highlighting delivered automation and performance improvements in beam alignment and beampointing workflows. Key outcomes include end-to-end automation with Holy Mirror (HM) calibration and a real-time applause notification, refactors to streamline centroid usage, and notebook workflow optimizations to accelerate calibration tasks. The work enhances reliability, repeatability, and throughput for optical alignment tasks, delivering measurable business value and demonstrating strong technical execution.
February 2025
7 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for GEECS-Plugins highlighting delivered automation and performance improvements in beam alignment and beampointing workflows. Key outcomes include end-to-end automation with Holy Mirror (HM) calibration and a real-time applause notification, refactors to streamline centroid usage, and notebook workflow optimizations to accelerate calibration tasks. The work enhances reliability, repeatability, and throughput for optical alignment tasks, delivering measurable business value and demonstrating strong technical execution.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 – GEECS Plugins: Delivered an automated beam pointing and alignment notebook that configures GEECS devices (cameras and motion control stages) and defines calibration-based alignment functions, enabling reproducible, precise beam alignment and faster deployment. The initial draft includes Pico integrations (commit 316f7bc10daff4563cc3bcf01b4a1e6c472502f1). Result: reduced manual calibration effort, improved consistency, and a solid foundation for broader automation.
1 Commits • 1 Features
Dec 1, 2024December 2024 – GEECS Plugins: Delivered an automated beam pointing and alignment notebook that configures GEECS devices (cameras and motion control stages) and defines calibration-based alignment functions, enabling reproducible, precise beam alignment and faster deployment. The initial draft includes Pico integrations (commit 316f7bc10daff4563cc3bcf01b4a1e6c472502f1). Result: reduced manual calibration effort, improved consistency, and a solid foundation for broader automation.
December 2024
Activity
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Quality Metrics
Correctness80.8%
Maintainability81.6%
Architecture78.4%
Performance76.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
AutomationBeam AlignmentCalibrationControl SystemsData AnalysisData RefactoringDevice ControlGEECS APIImage ProcessingJupyter NotebooksOpticsPythonPython ProgrammingPython ScriptingRobotics
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