Senior ZKP Protocol Engineer & AI Evaluator – AI Coding Data Generation/Evaluation
Designed, curated, and evaluated complex computational problems to test the reasoning and coding capabilities of advanced AI models used in cryptographic and systems engineering domains. Led rigorous assessment of LLM-generated code for accuracy, security vulnerabilities, and adherence to cryptographic standards. Served as a subject matter expert for external AI training processes, ensuring tasks required deep logical reasoning and could not be solved by simple methods. • Authored deterministic evaluation workflows focusing on zero-knowledge circuit optimization. • Provided corrections and mathematical proofs for detected hallucinations in model outputs. • Peer-reviewed model responses and annotated errors in cryptographic code. • Coordinated with multiple external AI training platforms on RLHF and coding evaluations.