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taylorjcolaizzi

PROFILE

Taylorjcolaizzi

Worked on the LDMX-Software/pflib repository to deliver calibration enhancements focused on improving measurement accuracy and automation for embedded systems. Developed and integrated new tools for clock phase and Time-of-Arrival (TOA) calibration, including sampling phase scans and TOA alignment workflows, using both C++ and Python for data acquisition, analysis, and visualization. Enhanced the calibration workflow by updating configuration management and implementing automated data handling and plotting scripts. Addressed a boundary bug in TOA alignment to ensure reliable operation. The work established a scalable foundation for batch calibration studies, demonstrating depth in scientific computing, signal processing, and firmware development within complex systems.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

7Total
Bugs
0
Commits
7
Features
4
Lines of code
1,471
Activity Months2

Work History

August 2025

3 Commits • 1 Features

Aug 1, 2025

August 2025 (2025-08) monthly summary for LDMX-Software/pflib: Focused on delivering Time-of-Arrival (TOA) calibration tooling and improving alignment reliability. Implemented TOA Calibration Tooling with trim_toa scan and vref_scan, including Python scripts for data analysis, plotting, and configuration generation, plus a new C++ task to execute the TOA scan. Refactored the TOA alignment workflow to integrate a dedicated vref_scan implementation and fixed a boundary bug to enforce the correct max trim_toa (63). This work enhances measurement accuracy, enables automated analysis, and establishes a scalable foundation for batch TOA studies across datasets.

July 2025

4 Commits • 3 Features

Jul 1, 2025

July 2025 (LDMX-Software/pflib) — This period focused on delivering calibration enhancements that improve measurement accuracy, automation, and data handling within the pflib module. No major bugs were reported during the month.

Activity

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Quality Metrics

Correctness84.4%
Maintainability82.8%
Architecture82.8%
Performance74.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

Boost.JSONCC++JSONPythonShell

Technical Skills

Algorithm DevelopmentCalibrationConfiguration ManagementData AcquisitionData AnalysisData VisualizationEmbedded SystemsFirmware DevelopmentPlottingScientific ComputingScriptingSignal ProcessingTest Automation

Repositories Contributed To

1 repo

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

LDMX-Software/pflib

Jul 2025 Aug 2025
2 Months active

Languages Used

C++JSONPythonShellBoost.JSONC

Technical Skills

CalibrationData AcquisitionData AnalysisData VisualizationEmbedded SystemsFirmware Development