
Worked on expanding and enhancing the uwsbel/BibFiles repository by curating and managing bibliographic resources for AI/ML and IMU-related research. Focused on extending BibTeX-based reference files, the work involved adding new entries covering topics such as digital twins, robotics, Kalman filtering, and motion analysis. Emphasized disciplined git workflows, including backup strategies before merges, to ensure data integrity and reproducibility. Improved documentation and reference management enabled more discoverable citations and streamlined onboarding for users integrating IMU calibration and error-state Kalman filter workflows. Demonstrated strengths in documentation management, research documentation, and bibliography management, with a focus on reliability and maintainability.
March 2026 (2026-03) monthly summary for the uwsbel/BibFiles repository. Focused on documentation enhancement to strengthen IMU-related resources used for motion analysis and EKF workflows.
March 2026 (2026-03) monthly summary for the uwsbel/BibFiles repository. Focused on documentation enhancement to strengthen IMU-related resources used for motion analysis and EKF workflows.
March 2025 – BibFiles: Bibliography Resource Expansion for AI/ML References. Expanded refsML-AI.bib and BibFiles with new AI/ML entries covering digital twins, motion capture, robotics, Kalman filtering, and state estimation. Commits: 99c7d0a49832d6a42b9af118fb184732be76d0ea (add new refs into refsML-AI.bib) and a74e7d16b670c9a6f863087e74eae015213b8c44 (backup before merge). No major bugs reported; stability maintained. Business value: richer, more discoverable AI/ML citations; improved reproducibility and integration with AI workflows. Skills demonstrated: BibTeX/BibFiles management, git discipline, merge hygiene, and data curation.
March 2025 – BibFiles: Bibliography Resource Expansion for AI/ML References. Expanded refsML-AI.bib and BibFiles with new AI/ML entries covering digital twins, motion capture, robotics, Kalman filtering, and state estimation. Commits: 99c7d0a49832d6a42b9af118fb184732be76d0ea (add new refs into refsML-AI.bib) and a74e7d16b670c9a6f863087e74eae015213b8c44 (backup before merge). No major bugs reported; stability maintained. Business value: richer, more discoverable AI/ML citations; improved reproducibility and integration with AI workflows. Skills demonstrated: BibTeX/BibFiles management, git discipline, merge hygiene, and data curation.

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