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dylanparsons/README.md

Dylan Parsons

I work on software that runs close to the hardware: real-time control, automation, and system diagnostics.

Most of what I build runs in production or test environments where uptime and predictability matter more than polish.

Recently, my work has been focused on:

  • build and deployment automation
  • CI/CD for mixed hardware and software systems
  • moving data from edge systems into cloud services

Tools I use regularly: C#, Python, C++, Docker, GitLab CI/CD, AWS

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  1. openrf-debugger openrf-debugger Public

    Open-source toolkit for analyzing, debugging, and correlating RF protocols with embedded devices.

    Python 1

  2. as7265x-tester as7265x-tester Public

    Cross-platform Python test framework for AS7265x spectral sensors using I2C communication. Supports Raspberry Pi, Arduino, ESP32, and BeagleBone platforms through configurable hardware profiles.

    Python

  3. Nightscout-Siri Nightscout-Siri Public

    iOS app that enables Siri to read CGM data from a Nightscout site hosted in the cloud.

    Swift 2 2

  4. drone-feature-tracker drone-feature-tracker Public

    ORB-based visual odometry pipeline for drone footage using OpenCV, feature matching, and RANSAC.

    Python

  5. PLC-Tag-Extractor PLC-Tag-Extractor Public

    A C# console application that connects to Allen-Bradley PLCs and extracts tag structures, exporting them to XML format for documentation and integration purposes.

    C# 3

  6. waveshare-ups-monitor waveshare-ups-monitor Public

    Raspberry Pi UPS battery monitoring system using Python, INA219 I2C sensor integration, and a lightweight web dashboard with JSON API.

    HTML