Building at the intersection of AI, blockchain, cryptography, and quantum computing — with an evidence-first engineering mindset.
I build, test, document, and iterate on software projects across Web3, AI, cryptography, and quantum-computing experiments.
- Reality first: implemented capabilities are separated from simulations, prototypes, and research.
- Evidence over claims: production, security, blockchain, AI, and quantum claims require reproducible evidence.
- Fail closed: missing or unverifiable evidence never becomes a PASS automatically.
- Security by default: secrets, private keys, seed phrases, and credentials do not belong in source code.
- Test before trust: CI, negative tests, dependency checks, and reproducible verification are part of the workflow.
- AI-native Web3 and multi-chain systems
- Post-quantum cryptography and quantum algorithms
- Autonomous-agent architecture with explicit policy controls
- x402/payment-enabled agent commerce
- Security, testing, CI/CD, and production-readiness automation
My repositories are being progressively governed by a central evidence-first rulebook:
DISCOVER → CLASSIFY → AUDIT → REPAIR → TEST → VERIFY → DOCUMENT → PASS/FAIL
The governance system explicitly distinguishes:
PRODUCTION_READY · DEVELOPMENT_READY · RESEARCH · SIMULATION · EDUCATIONAL · ARCHIVE · BLOCKED
A repository is never called production-ready merely because a README says so.
- QMoosa Nexus — AI-native multi-chain/Web3 experimentation and execution architecture.
- SHOR x402 — post-quantum autonomous-agent commerce research/prototype.
- Martin’s Algorithm — crypto-asset intelligence/recovery research with approval and safety boundaries.
- Quantum / cryptography projects — experiments and learning implementations around quantum algorithms and post-quantum security.
I am particularly interested in the practical intersection of post-quantum cryptography, AI agents, blockchain infrastructure, and quantum computing.
Research and prototype repositories are intentionally labeled as such; experimental code is not presented as production infrastructure without evidence.
I welcome constructive code review, security feedback, reproducibility improvements, and research collaboration.
- Profile: https://github.com/elon00
- Master Guardian: https://github.com/elon00/magical-garbage
Build boldly. Verify everything. Ship only what the evidence supports. 🚀