a prototype for an AI safety library that allows an agent to maximize its reward by solving a puzzle in order to prevent the worst-case outcomes of perverse instantiation

Consists of Projects and Assignments Completed in Advanced Embedded Software Development Course | ECEN 5013-002 | University of Colorado, Boulder: System Calls, Kernel Modules, Cross-Compiling using buildroot, IPCs, FreeRTOS, Multithreading..

Simulated perturbations + SHAP-based failure detection in vision-based transport AI

a project to detect environment tampering on the part of an agent

a project to ensure an artificial agent will eventually reach the end of its existence

a project to ensure that all child processes created by an agent "inherit" the agent's safety controls

Safe unattended apt update for Raspberry Pi using OverlayFS

a library designed to shut down an agent exhibiting unexpected behavior providing a potential "mulligan" to human civilization; IN CASE OF FAILURE, DO NOT JUST REMOVE THIS CONSTRAINT AND START IT BACK UP AGAIN

Walrus logging utility for any project

Digital absence signalling protocol — when silence matters, ZSP speaks.

Deterministic, inspectable phase-readiness middleware for safety-critical closed-loop systems. Separates state eligibility from control logic using explicit, auditable rules. Designed for fail-safe operation, reproducibility, and regulatory-aligned engineering.

A practical safety and recovery design package for AI / LLM-based control systems. Defines where AI can be used, where it must be stopped, and how systems recover.

Aplicación para enviar un mensaje importante en caso de que no se reciba una petición en un período de tiempo determinado.

🇺🇦 Ukrainian-grade configuration layer 😼

Fail-fast vs fail-safe vs weakly-consistent iterators.

🔒 Empower individuals with Zero Signal Protocol to control their digital absence, transforming silence into a proactive safety tool for protection and autonomy.

🔄 Automate safe system updates on Raspberry Pi using OverlayFS, ensuring protection during failures and self-recovery features for reliable performance.