Hi, I’m Lennox Kuria. I design adversarial test cases, construct deterministic evaluation rubrics, and perform surgical code audits for frontier LLM training pipelines. I thrive at the intersection of advanced data structures, high-concurrency Python architectures, and formal verification methods (Lean, TLA+), with a focus on breaking AI reasoning pathways through systematic edge-case construction and comprehensive repo-wide evaluations.
I’ve evaluated 1000+ AI outputs across software engineering, finance, mathematics, and Web3 domains, maintaining a 94% peer-review agreement on complex RLHF tasks. I enjoy building robust testing infrastructures, ensuring reproducibility and safety in production pipelines, and contributing to open-source tooling for AI data generation and verification.
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