I'm a recent computer science graduate with a focus on data-driven technologies and artificial intelligence. From playing and coding with Lego Mindstorms as a kid to immersing myself in Python-based data analysis, I've always been captivated by the boundless possibilities that technology offers.
Completing my bachelor's degree at UIUC was a transformative experience. I immersed myself in the diverse academic environment and honed my skills in computer science with a keen focus on Big Data. Through rigorous coursework, hands-on projects, and collaborative opportunities, I grew both personally and professionally.
With a strong foundation in Python, SQL, and data analysis, I dive into projects that challenge me to think creatively and analytically. Beyond the world of coding, I'm a fitness enthusiast and a die-hard soccer fan. My fascination with AI developments keeps me at the forefront of innovation.
In this section, I invite you to delve into some of my most compelling projects that exemplify my passion for data-driven technologies, AI, and game development. Each project has been a journey of exploration, learning, and pushing the boundaries of what's possible.
A web app for college students looking to pick classes. Mainly using GCP and SQL for the data, this project allows a student to pick classes based on their preferences of "Rate My Professor" teacher ratings, class GPA, and grade disparity.
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A meticulously crafted puzzle-horror project set in an immersive dark dungeon environment. This project, developed using Unreal Engine, offers an engaging storyline, challenging puzzles, and heart-pounding encounters.
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Implementing multi-layer neural networks and back-propagation to memorize images based on pixel coordinates. Explored various optimizers and feature mapping strategies to improve image reconstruction quality.
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Discover image classification with CLIP using Torch! This project leverages OpenAI's CLIP model to classify flower and pet images. Experience zero-shot prediction and a nearest neighbor classifier with CLIP features. Explore results and witness the future of image recognition!
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