I help AI systems make sense of the world through structured reasoning, evaluation, and analytical insight. As an AI Training and Evaluation Analyst, I collaborate with global AI projects and platforms such as Alignerr, OneForma, Mercor, and Appen. My work focuses on assessing AI model logic, realism, and completeness — identifying inconsistencies, testing decision-making, and helping define gold standards for Large Language Models (LLMs).
With a strong background in business process automation, IT systems, and digital transformation, I bring a structured, solution-oriented approach to every project. I’m experienced in AI data evaluation, scenario annotation, and structured QA thinking, with a keen eye for detail and logical consistency. I enjoy thinking through complex systems and identifying what’s missing, what’s unrealistic, or what might break — helping AI evolve toward clearer reasoning and more human-like understanding.
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