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I am an experienced Software Engineer and Quantitative Trader with a strong focus on Python, specializing in solving technical challenges and optimizing performance through data-driven approaches. My extensive background in backend development and quantitative trading empowers me to deliver high-performance, scalable solutions. I hold a Master’s in Business Analytics with a concentration in Data Science from The University of Texas at Dallas, where I built a solid foundation in data analysis, manipulation, and processing. Currently, I am further expanding my skill set by pursuing a Master’s in Computer Science at Georgia Tech, focusing on machine learning. My passion lies in tackling complex problems through scalable, sustainable, and forward-thinking engineering architectures. I am particularly excited about the transformative potential of blockchain technology and its applications in trading and cryptocurrency.
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