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Michal Rigan

PROFILE

Michal Rigan

Over the past year, M. Rigan engineered robust data processing and control features across the DUNE-DAQ/trigger and DUNE-DAQ/drunc repositories, focusing on reliability, maintainability, and scalable deployment. Rigan implemented advanced replay and filtering logic in C++ and Python, optimizing trigger data workflows and integrating configuration management to reduce misclassification and improve test coverage. In DUNE-DAQ/drunc, Rigan enhanced Kubernetes process management, introducing dynamic port handling, lifecycle robustness, and type-annotated Python code for improved onboarding. The work addressed concurrency, error handling, and system integration challenges, resulting in more resilient pipelines and streamlined operations for high-availability data acquisition and control environments.

Overall Statistics

Feature vs Bugs

71%Features

Repository Contributions

229Total
Bugs
34
Commits
229
Features
84
Lines of code
13,476
Activity Months12

Work History

October 2025

10 Commits • 2 Features

Oct 1, 2025

October 2025 monthly summary for DUNE-DAQ/drunc focused on delivering robust Kubernetes process management features, improving lifecycle reliability, and enhancing code quality to support scalable operations and faster onboarding.

September 2025

5 Commits • 3 Features

Sep 1, 2025

September 2025 monthly summary for DUNE-DAQ: Consolidated maintenance and reliability improvements across trigger and drunc. Key fixes include deadlock prevention in TCProcessor waiting logic and a maintenance release bump to 2.5.1. In drunc, introduced Kubernetes process manager reliability enhancements with a retry mechanism and timeout for pod creation to handle 409 conflicts, plus clearer configuration parsing and improved error handling. A code comment was added in the Trigger Decision Processing Loop to outline potential event-driven alternatives (not implemented in this release). These changes reduce downtime risk, improve restart resilience, and enable safer operations in high-availability environments. Technologies demonstrated include concurrency control with timed waits, retry-with-timeout patterns, error handling refinements, config parsing improvements, and maintainability via small, well-scoped commits.

August 2025

24 Commits • 9 Features

Aug 1, 2025

Monthly work summary for 2025-08 covering DUNE-DAQ/drunc. Focused on delivering Kubernetes integration improvements, container lifecycle enhancements, and code quality efforts that together reduce operational risk and enable scalable deployments. The month also includes targeted bug fixes that stabilize shutdown flows and improve observability and reliability, contributing to faster incident resolution and more maintainable code.

July 2025

7 Commits • 2 Features

Jul 1, 2025

July 2025 (2025-07) monthly summary for DUNE-DAQ/daqsystemtest: Delivered consolidated Trigger Bitwords processing enhancements with safer defaults, improved test infrastructure and data path stability, and resolved a test configuration parsing bug. The changes increased test reliability, reproducibility, and clarity of integration tests, enabling faster validation of new configurations and features.

June 2025

13 Commits • 2 Features

Jun 1, 2025

June 2025 monthly summary focusing on key developer contributions across DUNE-DAQ components. Delivered critical data integrity fixes in the trigger pipeline, progressed configuration framework migration in appmodel, and expanded hardware-coverage testing in daqsystemtest. The work improved data correctness, system reliability, and test coverage while advancing maintainable architecture practices.

May 2025

38 Commits • 18 Features

May 1, 2025

May 2025 performance summary: Delivered targeted reliability, performance, and testing improvements across DUNE-DAQ components. Key work spanned RTCM initialization/configuration/cleanup, TCProcessor configuration cleanup and API refresh, and MLT/clang improvements. Enhanced testability through data replay capabilities in DAQ System Test and TPReplay, culminating in the Version 2.4.0 release. Strengthened observability with logging enhancements and memory optimizations, and produced updated documentation to reflect changes. Overall, these efforts reduced failure modes, accelerated debugging, and positioned the stack for easier future maintenance and feature delivery.

April 2025

35 Commits • 13 Features

Apr 1, 2025

April 2025 highlights across DUNE-DAQ/trigger, DUNE-DAQ/appmodel, and DUNE-DAQ/daqsystemtest focused on delivering business value through enhanced data filtering, reliability improvements, and build/performance optimizations. Key features and improvements include: - TP format and detid-based filtering: Introduced a new TP format and added filtering by TP detid subdetector in trigger (commits 563f22b..., 16d4a8a0...). - Subdetector validation synchronization: Fixed and propagated valid subdetector validation to Python for cross-language consistency (commits ac3cdcf8..., 046566cd...). - Plane filtering and schema updates: Updated plane filtering schema and criteria to tighten data selection (commits 55bf5e20..., 83b2e30f...). - Build, dev, and performance enhancements: Dev compatibility adjustments, default changes, and build configuration improvements to boost performance (commits f60cfb3c..., 632fcbe3..., c2e0f8c4..., 5499509c..., 735f8e8d..., 427c75ea...). - Clang tooling and documentation improvements: Added Clang tooling integration and refreshed documentation across the project (commit aab137ae..., 2c95d3d3..., plus multiple README updates). - Type hints and logging improvements: Expanded type hints and improved logging, including handling of edge cases with no useful data (commits c61c425d..., 0ec9efa0..., 98566f2b...). - Configurable looping options: Added n-loops configuration and infinite looping support to enhance replay and study scenarios (commits 7e6030a7..., 373bc189...). Across all repos, these changes advance data quality, processing reliability, and developer productivity while reducing debugging and iteration time.

March 2025

21 Commits • 8 Features

Mar 1, 2025

March 2025 monthly summary focusing on reliability, maintainability, and configurability across DUNE-DAQ repos. Key improvements centered on replay/configuration workflows, naming consistency (TPReplay), and enhanced debugging/observability. Delivered plane filtering, channel-map configuration, and documentation updates, with targeted bug fixes and code hygiene efforts to reduce operator risk and future maintenance load.

February 2025

52 Commits • 14 Features

Feb 1, 2025

February 2025 performance summary for DUNE-DAQ development: delivered robust Trigger Replay features, expanded diagnostics and observability, and modernized replay infrastructure. Implementations spanned appmodel, trigger, and daqsystemtest, with extensive code-quality improvements, performance/memory optimizations, and updated documentation. The work directly enhances reliability, troubleshootability, and production throughput for trigger replay and data processing pipelines.

January 2025

13 Commits • 5 Features

Jan 1, 2025

Monthly summary for 2025-01: Delivered end-to-end replay enhancements and reliability improvements across DUNE-DAQ/appmodel, DUNE-DAQ/trigger, and DUNE-DAQ/daqsystemtest. These changes increased replay fidelity, reduced misconfiguration risk, and improved maintenance velocity by enabling per-plane replay processing and multi-ROU data handling. In appmodel, added dynamic source IDs for replay, introduced plane-specific replay logic, and cleaned up obsolete configuration settings to streamline operations. In trigger, strengthened replay robustness with granular error types, additional checks, and corrected file ordering, while introducing multi-ROU input handling with per-plane processing and a fix for iterator-based plane counting; formatting improvements were applied for readability. In daqsystemtest, implemented per-plane replay features and performed configuration cleanup to minimize misconfigurations and improve replay flexibility. Overall, these changes deliver measurable business value through more reliable data replay, faster validation, and easier long-term maintenance.

December 2024

10 Commits • 7 Features

Dec 1, 2024

December 2024 performance summary: Focused on stability improvements, robust trigger data replay capabilities, and scalable multi-stream testing across the DUNE-DAQ repos. Implemented a crash-prevention guard in periodic_data_transmission, completed a TPMM overhaul to TriggerPrimitiveMakerModule with enhanced configuration and output types, refined TPMM initialization and timestamp handling, and added vector handling with plane filtering and detailed logging to improve observability. Delivered TriggerReplayApplication with dynamic multi-file replay and data-request integration, and extended appmodel to support scalable replay across multiple TP streams. These changes enable more reliable analysis workflows, faster validation cycles, and stronger data integrity in testing and production pipelines.

October 2024

1 Commits • 1 Features

Oct 1, 2024

Concise Oct 2024 monthly summary focused on release engineering and business value for DUNE-DAQ/trigger. Highlights include a versioned release cycle, build-system hygiene, and maintainable documentation signals that enable downstream teams and customers to rely on clear, semver-aligned releases.

Activity

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Quality Metrics

Correctness86.0%
Maintainability86.8%
Architecture81.8%
Performance79.0%
AI Usage20.8%

Skills & Technologies

Programming Languages

C++CMakeJSONMarkdownProtoBufPythonShellXMLc++markdown

Technical Skills

Algorithm OptimizationBackend DevelopmentBug FixBug FixingBuild System ConfigurationBuild System IntegrationBuild System ManagementBuild SystemsBuild Systems (CMake)C++C++ DevelopmentCMakeCloud ComputingCloud InfrastructureCode Cleanup

Repositories Contributed To

4 repos

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

DUNE-DAQ/trigger

Oct 2024 Sep 2025
9 Months active

Languages Used

CMakeC++JSONMarkdownPythonXMLprotobufProtoBuf

Technical Skills

Build System ManagementC++Configuration ManagementData HandlingData ProcessingEmbedded Systems

DUNE-DAQ/drunc

Aug 2025 Oct 2025
3 Months active

Languages Used

Pythonpython

Technical Skills

Backend DevelopmentCloud ComputingCloud InfrastructureCode RefactoringConcurrencyContainerization

DUNE-DAQ/daqsystemtest

Dec 2024 Jul 2025
8 Months active

Languages Used

C++PythonXML

Technical Skills

DAQ SystemsData AcquisitionData HandlingSoftware DevelopmentSystem TestingConfiguration Management

DUNE-DAQ/appmodel

Dec 2024 Jun 2025
7 Months active

Languages Used

C++Python

Technical Skills

Build Systems (CMake)C++C++ DevelopmentConfiguration ManagementPython DevelopmentSoftware Architecture

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