loganoz/horses3d
Jan 2026 – Jun 2026
6 Months active
Languages Used
FortranMarkdownPythonShellYAMLCMakefile
Technical Skills
FortranFortran programmingacoustic modelingdocumentationfluid dynamicsnumerical methods
Albert Jimenez Ramos
PROFILE
Albert Jimenez Ramos
Over six months, contributed to the loganoz/horses3d repository by developing 34 features and resolving 13 bugs, focusing on acoustics simulation, mesh analytics, and build automation. Delivered tools for mesh data export in Finite Element format, parallel I/O, and time-accurate Lamb vector interpolation, enhancing interoperability and simulation fidelity. Applied Fortran, C/C++, and OpenMP to optimize performance and enable parallel computing. Improved CI/CD pipelines, documentation, and testing frameworks to support reproducible builds and robust workflows. The work emphasized code refactoring, configuration management, and data processing, resulting in more reliable simulations, streamlined analysis pipelines, and easier integration with external analysis tools.
Overall Statistics
Feature vs Bugs
72%Features
Repository Contributions
96Total
Bugs
13
Commits
96
Features
34
Lines of code
18,954,701
Activity Months6
Your Network
8 peopleShared Repositories
8
Abbas BalloutMember
DhueperMember
Eduardo JanéMember
loganozMember
Himpu MarbonaMember
hmarbonaMember
Oscar MarinoMember
Esteban FerrerMember
Work History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for loganoz/horses3d focusing on delivering a new FE export capability and related improvements. The feature enables exporting mesh data specifically in Finite Element (FE) format, expanding interoperability with FE analysis tools and broadening software usability. Implemented with dedicated workflows and configurations to support the new export path, and released via a merged PR with a well-documented commit.
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for loganoz/horses3d focusing on delivering a new FE export capability and related improvements. The feature enables exporting mesh data specifically in Finite Element (FE) format, expanding interoperability with FE analysis tools and broadening software usability. Implemented with dedicated workflows and configurations to support the new export path, and released via a merged PR with a well-documented commit.
June 2026
May 2026
34 Commits • 13 Features
May 1, 2026May 2026 monthly summary for loganoz/horses3d. Focused on delivering actionable analytics, improving build/test reliability, and strengthening solver stability. The team shipped enhanced acoustic analytics, flexible Lamb vector data capture, and robust infrastructure improvements to support faster releases and more reliable simulations. These efforts improved data export capabilities, simulation analysis flexibility, and developer productivity while reducing maintenance overhead.
May 2026
34 Commits • 13 Features
May 1, 2026May 2026 monthly summary for loganoz/horses3d. Focused on delivering actionable analytics, improving build/test reliability, and strengthening solver stability. The team shipped enhanced acoustic analytics, flexible Lamb vector data capture, and robust infrastructure improvements to support faster releases and more reliable simulations. These efforts improved data export capabilities, simulation analysis flexibility, and developer productivity while reducing maintenance overhead.
April 2026
19 Commits • 5 Features
Apr 1, 2026April 2026 monthly summary for loganoz/horses3d: Delivered a set of Lamb Vector enhancements and supporting infrastructure aimed at improving time-accurate acoustic simulations, data interoperability, and production reliability. The work focused on features with clear business value: more accurate physics, easier post-processing, and a sturdier build/test pipeline.
19 Commits • 5 Features
Apr 1, 2026April 2026 monthly summary for loganoz/horses3d: Delivered a set of Lamb Vector enhancements and supporting infrastructure aimed at improving time-accurate acoustic simulations, data interoperability, and production reliability. The work focused on features with clear business value: more accurate physics, easier post-processing, and a sturdier build/test pipeline.
April 2026
March 2026
17 Commits • 2 Features
Mar 1, 2026March 2026 summary for loganoz/horses3d focused on delivering high-value features for mesh analytics and acoustics, improving reliability through CI automation, and increasing performance via parallelization. Key outcomes include a new Stats Mesh Interpolation module with Lamb vector statistics integration, documentation, refactoring, OpenMP parallelization, and a testing framework; and Acoustic Simulation Enhancements with base flow handling, input integrity checks, mandatory keyword validation, updated documentation, and CI/test coverage. Notable reliability improvements include replacing risky object-pointer usage with safe key-based access (containsKey) and hardening input/config checks. Outcome: stronger cross-mesh analytics, more reliable acoustics simulations, faster interpolation, and reproducible builds. Technologies demonstrated: C++, OpenMP, parallel computing, test-driven development, CI workflows, and comprehensive documentation.
March 2026
17 Commits • 2 Features
Mar 1, 2026March 2026 summary for loganoz/horses3d focused on delivering high-value features for mesh analytics and acoustics, improving reliability through CI automation, and increasing performance via parallelization. Key outcomes include a new Stats Mesh Interpolation module with Lamb vector statistics integration, documentation, refactoring, OpenMP parallelization, and a testing framework; and Acoustic Simulation Enhancements with base flow handling, input integrity checks, mandatory keyword validation, updated documentation, and CI/test coverage. Notable reliability improvements include replacing risky object-pointer usage with safe key-based access (containsKey) and hardening input/config checks. Outcome: stronger cross-mesh analytics, more reliable acoustics simulations, faster interpolation, and reproducible builds. Technologies demonstrated: C++, OpenMP, parallel computing, test-driven development, CI workflows, and comprehensive documentation.
February 2026
21 Commits • 11 Features
Feb 1, 2026February 2026 summary for loganoz/horses3d: Implemented parallel I/O (position-based reads/writes) with optional stats_and_gradients, centralized I/O by moving reading to the time integration function, and added a new APE source term module. Introduced an acoustic flag to control acoustics behavior and enabled Lamb vector stats to be supplied as a uniform field. Added multiphase solver enhancements (initialization of base variables and statistics saving) and improved test coverage for acoustics, plus CI workflow setup. Achievements include refactors to simplify I/O, key feature delivery, and reliability improvements through targeted bug fixes and tests.
21 Commits • 11 Features
Feb 1, 2026February 2026 summary for loganoz/horses3d: Implemented parallel I/O (position-based reads/writes) with optional stats_and_gradients, centralized I/O by moving reading to the time integration function, and added a new APE source term module. Introduced an acoustic flag to control acoustics behavior and enabled Lamb vector stats to be supplied as a uniform field. Added multiphase solver enhancements (initialization of base variables and statistics saving) and improved test coverage for acoustics, plus CI workflow setup. Achievements include refactors to simplify I/O, key feature delivery, and reliability improvements through targeted bug fixes and tests.
February 2026
January 2026
4 Commits • 2 Features
Jan 1, 2026January 2026 (Month: 2026-01) – Two core feature deliveries on loganoz/horses3d focused on usability, data interoperability, and reproducibility: (1) Qbase Initialization Flexibility with usage documentation; (2) Lamb Vector IO Extensions for the Acoustics Solver. No major bugs fixed this month. Overall impact: easier configuration, faster experimentation, and improved data reuse. Technologies used: Fortran, file-based IO, and documentation practices to boost adoption and maintainability. Business value: reduces setup time, accelerates analysis pipelines, and supports reproducible experiments.
January 2026
4 Commits • 2 Features
Jan 1, 2026January 2026 (Month: 2026-01) – Two core feature deliveries on loganoz/horses3d focused on usability, data interoperability, and reproducibility: (1) Qbase Initialization Flexibility with usage documentation; (2) Lamb Vector IO Extensions for the Acoustics Solver. No major bugs fixed this month. Overall impact: easier configuration, faster experimentation, and improved data reuse. Technologies used: Fortran, file-based IO, and documentation practices to boost adoption and maintainability. Business value: reduces setup time, accelerates analysis pipelines, and supports reproducible experiments.
Activity
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Quality Metrics
Correctness87.8%
Maintainability85.4%
Architecture84.6%
Performance85.8%
AI Usage22.6%
Skills & Technologies
Programming Languages
CFortranMakefileMarkdownPythonShellYAML
Technical Skills
Acoustics SimulationBuild AutomationC programmingC/C++ developmentCI/CDCode MaintenanceCode RefactoringCode refactoringData AnalysisDevOpsFinite Element AnalysisFortranFortran programmingMakefile scriptingNumerical methods
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