AI Evaluator / LLM Reasoning Analyst
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Responsible for evaluating the reasoning, consistency, and robustness of large language models (LLMs). Performed hallucination detection, logical flaw identification, and edge-case analysis on AI outputs. Structured prompts and workflows were developed for validating model outputs and supporting adversarial testing.
• Evaluated LLM outputs using structured methodologies.
• Identified hallucinations, logical inconsistencies, and edge-case failures.
• Designed and implemented prompts to test model reasoning and reliability.
• Automated analysis workflows using Python and JSON-based tools.
Responsible for evaluating the reasoning, consistency, and robustness of large language models (LLMs). Performed hallucination detection, logical flaw identification, and edge-case analysis on AI outputs. Structured prompts and workflows were developed for validating model outputs and supporting adversarial testing. • Evaluated LLM outputs using structured methodologies. • Identified hallucinations, logical inconsistencies, and edge-case failures. • Designed and implemented prompts to test model reasoning and reliability. • Automated analysis workflows using Python and JSON-based tools.
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