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I’m Paul Yun and was a student in a Data Science bootcamp in 2019. I’ve been researching the fascinating **P vs. NP problem** independently. These concepts relate to **Big-O notation**, a measure of how efficiently an algorithm performs as the size of the input grows. Now I am working on developing a self-improving **algorithm** aimed at solving the P vs. NP problem. The algorithm evolves daily, learning and refining itself based on computational experiments and theoretical insights.