
During a two-month period, Chris Swanson developed and stabilized core telemetry systems for the NCSU-High-Powered-Rocketry-Club/Payload-2024-2025 repository. He engineered a multi-sensor Arduino data collection pipeline, integrating DPS310, BNO085, and SAM-M10Q modules, and implemented structured JSON payload formatting using ArduinoJson. His work included Python-based UART and XBee testing utilities to validate wireless payload transmission, as well as enhancements to GPS reliability and real-time data handling. Chris addressed system stability by refining packet handling, improving logging, and resolving transmission bugs, demonstrating depth in embedded systems, C++, and Python while establishing a robust, scalable foundation for launch-day telemetry.

March 2025: Core telemetry reliability and stability improvements for Payload-2024-2025. Delivered IMU integration with rolling buffer, enhanced packet handling, and robust Arduino IDE updates; updated APRS formats for interoperability; stabilized logging, imports, and camera; addressed receiver and transmission reliability; launched environment tweaks and health-monitoring enhancements to support launch-day readiness.
March 2025: Core telemetry reliability and stability improvements for Payload-2024-2025. Delivered IMU integration with rolling buffer, enhanced packet handling, and robust Arduino IDE updates; updated APRS formats for interoperability; stabilized logging, imports, and camera; addressed receiver and transmission reliability; launched environment tweaks and health-monitoring enhancements to support launch-day readiness.
January 2025 — Delivered core telemetry capabilities for the Payload-2024-2025 project, focusing on a multi-sensor Arduino data collection pipeline and robust pre-integration testing. Key outcomes include JSON-formatted data payloads, improved GPS reliability, and a Python-based UART/XBee testing suite to validate payload transmission ahead of full XBee integration. These efforts establish a scalable data foundation, reduce downstream integration risk, and accelerate time to first telemetry.
January 2025 — Delivered core telemetry capabilities for the Payload-2024-2025 project, focusing on a multi-sensor Arduino data collection pipeline and robust pre-integration testing. Key outcomes include JSON-formatted data payloads, improved GPS reliability, and a Python-based UART/XBee testing suite to validate payload transmission ahead of full XBee integration. These efforts establish a scalable data foundation, reduce downstream integration risk, and accelerate time to first telemetry.
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