An experimental sandbox dedicated to physical computing, custom robotics, hardware prototyping, and edge system integration built on the absolute ethos of learning by doing.
The Mad Science Lab serves as a hands-on proving ground where digital logic meets physical reality. Focused deeply on custom robotics fabrication, alternative microcontrollers, and decentralized telemetry infrastructure, this workspace is used to design, program, and iterate electro-mechanical systems. From provisioning custom edge-processing units to calibrating automated robotic kinetics and long-range communication nodes, everything here is built to break barriers and explore how physical components interact in real-world spaces.
Fabricating custom electro-mechanical hardware assemblies, engineering robotic control logic, and integrating motor arrays with physical feedback mechanisms to automate structural movements.
Prototyping across bare-metal environments, custom firmware compilation, and structural integration with microcontrollers including the ESP32 family, Raspberry Pi, and specialized development ecosystems.
Hands-on hardware interface deployment for real-time spatial arrays, utilizing multi-point LiDAR sensors, environmental monitoring suites, and custom telemetry parsers to reconstruct raw structural data.
Engineering low-power, high-availability data infrastructure utilizing LoRa arrays to achieve persistent, decentralized telemetry communication networks independent of traditional connectivity constraints.
Architecting self-contained compute configurations that process high-frequency sensor streams right at the physical collection point, minimizing reliance on external cloud environments.
Marrying custom electrical engineering, solid code bases, and physical structural modifications into seamlessly working hardware prototypes linked directly to open GitHub repositories.