
Worked on the dalathegreat/Battery-Emulator repository to deliver independent per-battery cell data display, enabling accurate monitoring for dual and triple battery configurations. Addressed a key issue in the Cellmonitor component by isolating cell data per battery instance, which resolved cross-instance data leakage and ensured each battery’s health and performance metrics were reported correctly. The solution involved C++ programming and embedded systems expertise, with a focus on battery management system data modeling. Employed Python object-oriented programming for testing and validation, and utilized Git-based workflows to document and verify changes, resulting in more reliable dashboards and streamlined multi-battery scenario debugging.
May 2026 monthly summary for dalathegreat/Battery-Emulator: Delivered independent per-battery cell data display to support dual and triple battery configurations. Implemented per-instance isolation of cell data to fix cross-instance data leakage in Cellmonitor, addressing the issue where only one battery's cells were shown. These changes improve accuracy of battery health and performance monitoring and simplify multi-battery testing. Business impact includes more reliable monitoring dashboards, reduced debugging time for multi-battery scenarios, and clearer data for health metrics. Technologies/skills demonstrated include Python OOP, battery management system data modeling, Git-based collaboration and PR testing workflows.
May 2026 monthly summary for dalathegreat/Battery-Emulator: Delivered independent per-battery cell data display to support dual and triple battery configurations. Implemented per-instance isolation of cell data to fix cross-instance data leakage in Cellmonitor, addressing the issue where only one battery's cells were shown. These changes improve accuracy of battery health and performance monitoring and simplify multi-battery testing. Business impact includes more reliable monitoring dashboards, reduced debugging time for multi-battery scenarios, and clearer data for health metrics. Technologies/skills demonstrated include Python OOP, battery management system data modeling, Git-based collaboration and PR testing workflows.

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