EXCEEDS logo
Exceeds
kfanning

PROFILE

Kfanning

Fanning developed and maintained advanced scheduling, calibration, and configuration systems for the lsst-ts/ts_config_ocs repository, focusing on observatory automation and data quality. Over seven months, Fanning delivered features such as a dark sky scheduler, calibration data generators, and cross-component integrations, using Python and YAML for robust backend development. Their work included test automation frameworks and configuration refactoring to streamline LSSTCam operations, reduce manual overhead, and improve traceability. By addressing both feature delivery and targeted bug fixes, Fanning enhanced operational reliability and maintainability. The engineering approach demonstrated depth in system scripting, observatory scheduling, and continuous validation of complex astronomical workflows.

Overall Statistics

Feature vs Bugs

62%Features

Repository Contributions

17Total
Bugs
5
Commits
17
Features
8
Lines of code
3,602
Activity Months7

Work History

September 2025

1 Commits • 1 Features

Sep 1, 2025

September 2025: Delivered BLOCK-T529 softlink integration between lsst-ts/ts_config_ocs and the OCS Scheduler to enable flexible daytime activity scheduling. The change is implemented as a soft link and is backed by commit b8ed143f6033898dceff3a9082de1d5e0d78b725. No major bugs fixed this month. Impact: enhanced cross-component scheduling, reduced manual orchestration, and a clearer path for dynamic daytime workflows. Technologies demonstrated include repository-level changes, soft linking techniques, and end-to-end integration patterns between BLOCK-T529 and the OCS Scheduler.

May 2025

1 Commits • 1 Features

May 1, 2025

May 2025: Delivered a traceability enhancement in AT Scheduler by adding an informational link to task BLOCK-T145 in the ts_config_ocs repository. The change provides auditability and easier debugging without modifying existing functionality. All changes are isolated to metadata/traceability and pose minimal risk to current workflows.

March 2025

1 Commits

Mar 1, 2025

Concise monthly summary for 2025-03 focusing on business value and technical achievements across the ts_config_ocs repository.

February 2025

3 Commits • 1 Features

Feb 1, 2025

February 2025 monthly summary for lsst-ts/ts_config_ocs: Delivered L3 Rotator and Camera Soak Test Framework enabling automated rotator exercise and scheduler/config validation to support BLOCK-T362, BLOCK-T358, and BLOCK-T361. This feature work enhances end-to-end testing coverage for rotator/ccw/lsstcam on L3, enabling earlier risk detection and ensuring deployment readiness. No explicit bug fixes recorded this month; focus was on feature delivery and automation. Key outcomes include improved test coverage, traceability through commit-level records, and stronger validation pipelines.

December 2024

2 Commits

Dec 1, 2024

December 2024 performance summary focused on stability and configuration clarity across two repos. Delivered targeted fixes that reduce misconfiguration risk and standardize image acquisition parameters, enhancing reliability for data products and downstream workflows.

November 2024

8 Commits • 4 Features

Nov 1, 2024

November 2024 performance summary: Delivered substantial scheduling, calibration, and reliability improvements across multiple repos, strengthening simulation realism, calibration validation, and maintainability. Key workflows and tests were added or hardened to support faster, repeatable evaluation of LSST operations and instrument calibration. The changes improve operational readiness for LSST simulations, reduce manual configuration overhead, and increase test coverage with executable Scripts. Overall, this month focused on delivering concrete, business-relevant capabilities that directly support planning, instrument calibration, and automation pipelines.

October 2024

1 Commits • 1 Features

Oct 1, 2024

October 2024 performance summary: Delivered an All-day Dark Sky Scheduler for LSSTCam in the lsst-ts/ts_config_ocs repository. Implemented a new scheduler configuration to optimize observations under dark sky conditions, including exposure times, number of exposures per filter, and telemetry streams for seeing and wind. The work aligns with operational efficiency and data quality goals and is tracked under BLOCK-T233. Commit e06cbbc077506b39c2ba0753e26a8926f99058df. Impact: improved observing efficiency and data consistency for dark-time observations, with deployment readiness. Major bugs fixed: none this month. Technologies demonstrated: Python-based configuration, scheduler design, telemetry integration, and version-controlled collaboration across ts_config_ocs.

Activity

Loading activity data...

Quality Metrics

Correctness87.6%
Maintainability87.6%
Architecture87.6%
Performance76.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

PythonYAML

Technical Skills

Backend DevelopmentCalibration PipelineCode RefactoringConfiguration ManagementImage AcquisitionObservational Astronomy SimulationObservatory ConfigurationObservatory Control SystemsObservatory SchedulingPythonPython DevelopmentPython ScriptingScheduler ConfigurationScriptingSystem Configuration

Repositories Contributed To

4 repos

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

lsst-ts/ts_config_ocs

Oct 2024 Sep 2025
7 Months active

Languages Used

PythonYAML

Technical Skills

Observatory ConfigurationPythonScheduler ConfigurationYAMLCalibration PipelineConfiguration Management

lsst-ts/ts_observatory_control

Nov 2024 Nov 2024
1 Month active

Languages Used

Python

Technical Skills

Backend DevelopmentCode RefactoringPythonTesting

lsst-ts/ts_externalscripts

Nov 2024 Nov 2024
1 Month active

Languages Used

Python

Technical Skills

Observatory Control SystemsPython DevelopmentSystem ScriptingUnit Testing

lsst-ts/ts_standardscripts

Dec 2024 Dec 2024
1 Month active

Languages Used

Python

Technical Skills

Image AcquisitionScripting

Generated by Exceeds AIThis report is designed for sharing and indexing