AI Framework Specialist & Independent Instruction Practice
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RLHFAI Framework Specialist and independent instruction work focused on evaluating and optimizing LLM behaviors using structured prompts and safety-oriented empirical checks. The work involved creating rule-based training patterns from complex linguistic and technical procedures, and running multi-turn dialogue simulations to measure steering degradation and context fading. Outputs were used to refine model alignment and constraint adherence for more precise and neutral responses. • Developed self-learning frameworks to cross-reference AI capabilities against empirical safety data. • Designed structured logical prompts to probe transformer model boundaries across domains. • Simulated multi-turn environments to assess memory thresholds and early context fading. • Refined complex linguistic/technical inputs into clear, rule-based training patterns.