About Me
Who I Am
I'm a passionate student at Carnegie Mellon University, pursuing a unique dual degree in Computational Finance and Computer Science. My journey is driven by a deep fascination with the intersection of technology and finance, where I aim to leverage cutting-edge computational methods to solve complex financial challenges.
What Drives Me
I'm motivated by the challenge of solving complex problems and the opportunity to make a meaningful impact. Whether it's developing AI solutions for law firms or analyzing market trends, I thrive on pushing the boundaries of what's possible through technology and innovation. I also enjoy working with incredibly smart and talented people, and relish tackling complex problems together and learning from each other.
Quick Facts
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My Journey
From my early days at Thomas Jefferson High School for Science and Technology, to college years at CMU, I've been constantly pushing the boundaries of what's possible. My experience spans from machine learning research to quantitative finance, with a particular focus on developing innovative solutions that bridge the gap between theory and practice.