An archaeological record of bad ideas that seemed reasonable at the time.
I’m a security engineer who likes taking things apart, figuring out how they work, and occasionally putting them back together with more dependencies.
Over 20+ years, that curiosity has wandered through cybersecurity, malware analysis, distributed systems, infrastructure, AI, and software for problems that probably could have been handled with a spreadsheet.
There is a theme here. It’s curiosity. There is not a roadmap.
- AI security: Model integrity, prompt injection, and testing what happens when the reassuring demo meets the actual internet.
- Local AI and agent systems: Open-weight models, private inference, and getting multiple agents to do useful work without inventing another management layer.
- Open research and education: Helping people understand how AI actually works, what it can do, and when to stop asking the chatbot and ask a person.
I’m building at Mecha Minds, focused on AI infrastructure, automation, and security, and Tensor Lab, a nonprofit supporting open research and public-benefit education.
My commitment to local computing has escalated to an eight-GPU server. I can now complain about the cloud entirely on-premises.
The collection includes original projects, forks, experiments, and evidence that “I’ll just try this real quick” has never been a reliable estimate.
awesome-malware-analysis · homebrew-infosec · osx-security-awesome
For when “that looks suspicious” becomes an entire area of professional interest.
docker-ambari · simple-scala-mapreduce · spark-kafka-writer
Several sedimentary layers of “this will simplify the architecture.”
church-heatmap · node-sword · android-bible-flashcards
Apparently even my nontechnical interests need a repository.
Explore the rest of the excavation →
Please check each project’s README and recent commits before adopting it. A repository’s presence here is not necessarily a current recommendation, and a fork is not a claim of authorship.
The views expressed by my older code may no longer represent the views of its author.
Working on AI security, open models, useful automation, or something sufficiently odd that you’re still figuring out how to explain it? I’m interested.
Questions, thoughtful feedback, and useful pull requests are welcome. So are people learning their way around. You don’t need an impressive title or a finished project to start a conversation.
Get in touch · Mecha Minds · Tensor Lab
Some people leave a legacy. I appear to be leaving dependencies.





