I work on AI safety infrastructure for agent systems: deterministic trace protocols, causal memory layers, adversarial evaluation, and failure localization. Before pivoting into AI safety, I spent 12+ years in fintech QA, where I worked on high-reliability testing, auditability, and production-grade failure analysis. My goal is to turn vague concerns about agent misalignment into concrete, reusable open-source artifacts: benchmarks, trace tooling, and oversight libraries.