Worked on the meshtastic-matrix-relay repository to enhance the reliability of health data processing within the Health Plugin. Focused on backend development using Python, the work addressed edge cases by filtering out None values from both SNR and air_util_tx data streams. This approach improved the integrity of health metrics and reduced the risk of downstream processing errors, ensuring more robust deployments. Emphasized defensive data handling and data filtering techniques to strengthen the module’s resilience against malformed telemetry, all while maintaining minimal performance impact. The contributions centered on bug fixes, prioritizing data quality and stability over new feature development during this period.