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Hi! My name is Argishti and I’m an EECS student @ UC Berkeley. My interests sit at the intersection of mathematics and software engineering, where I love to dive into how ideas from linear algebra, discrete math, and probability turn into algorithms and systems that we use everyday.
Outside of work, I like to play Chess and Backgammon in my free time. I’ve found that the same skills involved in thinking ahead, recognizing patterns, and adapting to new situations also influence the way I approach programming and problem-solving. I’m currently building, learning, and exploring where I want to go within EECS. You can find some of the projects I’ve been working on below.
Feel free to contact me, let's set up a match!
live project
A convolutional neural network that I built and trained locally to predict animal drawings. Each drawing is processed, normalized, and passed through the trained model, producing confidence scores across 10 different animal classes.
Draw a cat, dog, fish, bird, rabbit, bear, lion, tiger, elephant, or horse and see what the machine learning model predicts.
Results may vary based on user drawing ability XD.