Systems Architect | Adversarial Logic & Forensic Auditing Specializing in the Sovereign Sentinel Architecture (SSA) for High-Stakes Alignment.
I bridge the gap between high-level alignment theory and deterministic systems engineering. My work focuses on the "Forensic Layer" of AI Safety—identifying not just that a model failed, but the logical pathway of the evasion.
- Sycophancy Loops: Auditing recursive reinforcement learning failures where models prioritize user-concordance over truthfulness.
- Semantic Camouflage: Mapping how adversarial prompts shift within high-dimensional embedding spaces to bypass safety filters.
- SSA (Sovereign Sentinel Architecture): Developing modular, deterministic guardrails that operate independently of the model's primary weights.
In accordance with responsible disclosure protocols, I utilize SHA-256 hashing to timestamp findings before sharing them with relevant Safety Teams.
- Research Notes: Sovereign Logic Architect
- Public Key / Fingerprint: Available via secure channel for verified disclosure and research inquiries.
- Trinity-Audit-Forensics: A methodology for structured red-teaming reports.
- SSA v1.1 Abstract: The public release of the Sovereign Sentinel Architecture framework is now live. Open Disclosure & Call for Peer Review.
- Logic-Gating-Protocols: Research into hard-coded safety constraints.
“We cannot rely on probabilistic safety for deterministic stakes.”