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Chris Ford

PROFILE

Chris Ford

Worked on the slac-lcls/lcls2 repository to deliver two backend features focused on data acquisition and configuration management. Developed timed data acquisition run capabilities using Python and Bash, enabling controlled, repeatable campaigns with configurable duration, host selection, and optional data recording. Centralized configuration handling and improved documentation to reduce operator error and support reliable campaign execution. Later, updated BOS configuration CSVs to define connections and port summaries, ensuring accurate system configuration and supporting scalable deployments. Emphasized configuration management, scripting, and system administration throughout, validating changes to improve runtime reliability and laying the foundation for future enhancements in the DAQ system.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

9Total
Bugs
0
Commits
9
Features
2
Lines of code
865
Activity Months2

Your Network

70 people

Shared Repositories

27
Amanda Jean ShackelfordMember
Amanda Jean ShackelfordMember
Matthew AvaylonMember
Ric ClausMember
Christopher OgradyMember
Christopher OgradyMember
Christopher OgradyMember
Christopher OgradyMember
Christopher OgradyMember

Work History

September 2025

1 Commits • 1 Features

Sep 1, 2025

September 2025: Delivered BOS Configuration Update for slac-lcls/lcls2, updating BOS-related configuration CSVs to define connections and port summaries, ensuring accurate system configuration and proper operation of connected components. No major bugs reported this month. Impact: reduces configuration drift, improves runtime reliability, and lays groundwork for scalable BOS deployments. Technologies/skills: configuration management via CSV, version control (commit 80e8a9a52b7c6600517c58ac0b6eb38c661792a7), cross-repo collaboration.

November 2024

8 Commits • 1 Features

Nov 1, 2024

Delivered the Timed Data Acquisition Runs feature for the DAQ system in slac-lcls/lcls2, enabling controlled, repeatable campaigns through configurable duration, host/platform selection from configuration, and optional data recording. Tight integration with existing configuration and improved documentation set the foundation for reliable campaign execution and data quality.

Activity

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Quality Metrics

Correctness91.2%
Maintainability91.2%
Architecture91.2%
Performance86.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

BashCSVPythonShell

Technical Skills

Backend DevelopmentCode RefactoringCommand-line Interface DevelopmentConfiguration ManagementData AcquisitionPythonPython DevelopmentPython ScriptingScriptingShell ScriptingSystem AdministrationSystem Configuration

Repositories Contributed To

1 repo

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

slac-lcls/lcls2

Nov 2024 Sep 2025
2 Months active

Languages Used

BashPythonShellCSV

Technical Skills

Backend DevelopmentCode RefactoringCommand-line Interface DevelopmentConfiguration ManagementData AcquisitionPython