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Computer Code Programming

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Computer Programming Coding

Freelancer Overview

I am an AI trainer with a strong academic foundation in physics, holding a Master’s degree in Fundamental Physics from Sorbonne University and a PhD in Theoretical Physics from the University of Auckland. My background combines advanced research with university-level teaching experience, giving me both deep technical expertise and the ability to communicate complex physical concepts in a clear and structured way. I am particularly comfortable with analytical problem solving, mathematical derivations, and multi-step logical reasoning across classical, statistical, and quantum physics. My work with AI systems focuses on physics-centric tasks such as evaluating and correcting technical explanations, verifying equations and numerical solutions, and producing high-quality prompts and reference answers for scientific datasets. I bring a rigorous, research-driven approach to identifying logical inconsistencies, improving clarity, and ensuring conceptual and mathematical accuracy in AI-generated content, making me well-suited for expert-level annotation and evaluation in physics and related technical domains.

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Work History