AI Model Evaluation & Reasoning Specialist
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I performed systematic evaluation of large language model (LLM) outputs for reasoning quality, instruction alignment, and output reliability. My work included rubric-based scoring, logical consistency checks, and detection of hallucinated or factually inaccurate responses. The process involved comparative ranking of AI-generated text and documentation of rationale for assessment outcomes.
• Evaluated AI responses for logical coherence and adherence to detailed instructions.
• Analyzed multi-step reasoning chains, identifying assumptions and logical fallacies.
• Developed structured frameworks to ensure assessment consistency and reproducibility.
• Documented concise justification reports for every evaluation result.
I performed systematic evaluation of large language model (LLM) outputs for reasoning quality, instruction alignment, and output reliability. My work included rubric-based scoring, logical consistency checks, and detection of hallucinated or factually inaccurate responses. The process involved comparative ranking of AI-generated text and documentation of rationale for assessment outcomes. • Evaluated AI responses for logical coherence and adherence to detailed instructions. • Analyzed multi-step reasoning chains, identifying assumptions and logical fallacies. • Developed structured frameworks to ensure assessment consistency and reproducibility. • Documented concise justification reports for every evaluation result.
2024 - Present