I build infrastructure automation, network security tools, and local AI systems. My background is in the networks and platforms behind AI and robotics; my open-source work makes systems easier to inspect, operate, and improve.
Explore the code · Contribute · Website
ShadowVendor / Network visibility
Turn MAC address tables into vendor analysis, dashboards, and SIEM exports. Built for the practical work of understanding what's on a network.
Python · Multi-vendor parsing · Security monitoring
Source modules · Tests · Discuss an improvement
Aida / continuous-ai / Local AI memory
Persistent memory and integrity mechanisms for local language models, with memory you can inspect and correct. An experimental research runtime, with its scope and limitations documented in the repository.
Python · Local inference · CLI-first
Architecture and scope · Evaluation code · Contribution guide
Network Attack Visualizer / Network behavior
Explore Layer 2 and Layer 3 attacks through packet flow and topology. A browser-based way to understand the mechanics, with the implementation open to inspection.
D3.js · Static web application · No backend
Try the demo · Inspect the implementation
Interested in vendor parsing, local-model evaluation, or explaining network behavior? Start a discussion in the relevant repository's issue list before making a substantial change. A concrete example or reproducible failure is a useful place to begin.
Network tooling · Local AI · Attack scenarios
More tools, research, and background
Practical tools: Linux-Tools, MAC2CSV, Vim reference, and Engineering mnemonics.
Web applications: MebaneWeather and Tropical ToDos.
Research and ideas: AI–Human Mutualism and CERBERUS. CERBERUS is architecture and research, rather than a production security product.
Background: Linux, network security, cloud infrastructure, Python automation, and platforms for AI and robotics. Read the full bio.