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I’m a detail-oriented AI Support Professional specializing in data annotation, AI testing, and prompt engineering. I evaluate AI-generated outputs to ensure high-quality datasets and support machine learning workflows with consistent, accurate results.

I’m strong in output evaluation—detecting errors, biases, and inconsistencies in LLM responses—while creating structured prompts and edge-case scenarios for model stress-testing. I also handle quality control, QA reporting, and content moderation safety compliance by applying platform guidelines and filtering harmful or policy-violating content, using both web-based annotation tools and mobile task systems.