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mpozzato

PROFILE

Mpozzato

Over a two-month period, contributed to the DUNE/sandreco repository by building out CI/CD infrastructure and implementing Kalman Filter-based tracklet reconstruction. Developed and merged comprehensive CI/CD configurations using CMake, Shell, and YAML, which standardized environment setup and automated build and test processes, improving reliability and onboarding. Later, introduced Kalman Filter tracklets from Monte Carlo trajectory points in C++, enhancing the system’s ability to reconstruct particle trajectories and supporting more robust data analysis. The work focused on pipeline automation, dependency management, and machine learning techniques, laying the foundation for improved event reconstruction and streamlined analytics within the project’s software engineering workflow.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
2
Lines of code
50,561
Activity Months2

Work History

February 2026

1 Commits • 1 Features

Feb 1, 2026

February 2026: Delivered Kalman Filter tracklets from Monte Carlo trajectory points in DUNE/sandreco, improving tracking fidelity and robustness. Merged PR #128 (commit adcdad7f058c7adc9f38edd145e999040061fc7e) to introduce Kalman-based tracklets into the pipeline, enabling more accurate trajectory reconstruction and laying groundwork for downstream analytics. The work strengthens data fusion between MC trajectories and real-time tracking, supporting higher-quality event reconstruction and detector performance monitoring.

September 2025

1 Commits • 1 Features

Sep 1, 2025

Monthly summary for 2025-09 focusing on key features, bugs fixed, impact, and skills demonstrated. Key accomplishments include the delivery of CI/CD infrastructure and testing enhancements for the DUNE/sandreco project, with a merged PR implementing CI improvements (commit b4c5b00b0977fefdde061dce80ee6ddb9299394d). Major bugs fixed: none reported this month. Overall impact includes standardized CI/CD, faster feedback loops, improved reliability across environments, and easier onboarding for new contributors. Technologies/skills demonstrated include CI/CD configuration, pipeline automation, configuration management, dependency management, test automation, and collaborative PR workflows.

Activity

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Quality Metrics

Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage30.0%

Skills & Technologies

Programming Languages

C++CMakeShellYAML

Technical Skills

C++ DevelopmentC++ developmentCI/CDCMakeData AnalysisGitLinuxMachine LearningSoftware Engineering

Repositories Contributed To

1 repo

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

DUNE/sandreco

Sep 2025 Feb 2026
2 Months active

Languages Used

C++CMakeYAMLShell

Technical Skills

C++ developmentCI/CDCMakeGitLinuxC++ Development