My name is Keshava, and I am a rising senior studying electrical engineering at the University of Pennsylvania. Upon the advent of artificial intelligence (AI), data has become a crucial training mechanism for decision-making models. Recently, learning from very large data sets has pushed hardware to the edge of its computational abilities. There is a clear need for expertise in machine learning (ML) algorithms, with unexplored applications in nearly every modern-day company, but also a need to understand the limitations and potential for innovation in hardware. My background is at this very intersection of electrical engineering and computer science (EECS). Upon completing my junior year, I will have nearly completed my concentration in data science, having studied random processes/stochastic systems that form the mathematical foundation of AI, algorithms/data structures and their application to ML, hardware-based deep neural networks, and computer architecture/embedded systems. My passions transcend engineering to music performance/production, non-profit development, community service in the arts, and social activism.