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Labelbox

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Freelancer Overview

I am an AI safety and evaluation analyst with hands-on experience in data annotation, quality control, and AI output validation across complex workflows. My expertise includes detecting unsafe, misleading, or inconsistent AI responses, performing high-accuracy quality checks, and documenting structured evaluation reports. I have a strong background in prompt engineering, adversarial testing, and analytical reasoning, and I am skilled at identifying errors, bias, and edge cases to improve AI reliability. I am proficient with tools such as ChatGPT, Gemini, Microsoft Copilot, and automation platforms like n8n for workflow optimization. My projects include AI behavior testing, prompt evaluation, and designing modular logic frameworks to enhance AI consistency and structured outputs. I am passionate about ensuring the safety, accuracy, and real-world reliability of AI systems through meticulous data labeling and evaluation.

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