I am an independent AI annotation, evaluation, and data operations specialist with hands-on experience supporting production-level large language models (LLMs) through structured annotation, rubric-based evaluation, comparative model testing, search intent analysis, linguistic review, and prompt-based tasks.
I bring a strong analytical background built on advanced university-level engineering, mathematics, and data analysis coursework, with a track record of identifying logical errors, hallucinations, bias, reasoning flaws, linguistic inconsistencies, and real-world misalignment in AI-generated outputs. I work effectively in remote, asynchronous, high-volume environments while maintaining rigorous quality and documentation standards.
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