AI Data Integrity Specialist / LLM Code Evaluator (RLHF)
RLHFServed as Systems & AI Data Integrity Specialist, with a focus on evaluating and training Large Language Models (LLMs) via code review and feedback mechanisms. Assessed code for functionality, performance, and idiomatic correctness to ensure high-quality data labeling for AI training. Produced clear rationales explaining algorithmic decisions and architectural trade-offs, contributing to Reinforcement Learning from Human Feedback (RLHF) processes. • Conducted code audits for memory safety and security vulnerabilities in decentralized applications. • Provided written feedback and documentation for architectural decisions. • Collaborated with developers to ensure that code samples met production and security standards for AI model ingestion. • Specialized in Rust and blockchain systems for AI-based code evaluation.