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Freelancer Overview

I am a Ph.D.-trained physicist with extensive experience in AI model evaluation, data annotation, and the structured assessment of technical content. My background includes reviewing and refining AI-generated physics solutions, identifying conceptual and methodological errors, and providing detailed, step-by-step feedback to enhance model reasoning and accuracy. I have developed evaluation rubrics, designed benchmark problem sets, and contributed reinforcement learning feedback for physics-focused AI systems. My technical skills include Python, MATLAB, Mathematica, C++, and LaTeX, along with expertise in rubric-based assessment and scientific documentation. I am passionate about maintaining the highest standards of data quality and analytical rigor in AI training data, especially in complex scientific and technical domains.

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