I am a 4th year Computer Science student at Georgia Tech, set to graduate in May 2025, with a focus on Intelligence and Information Internetworks. Born and raised in Northern Virginia, my passion lies in learning and implementing Machine Learning models to optimize business operations. My experience includes internships at Citi and Lockheed Martin, where I developed scalable web applications and modernized user interface displays, respectively. I have honed my skills in TypeScript, JavaScript, Angular, Spring Boot, and Tokenization, and I am proficient in using version control systems like GitHub. My goal is to become an AI Machine Learning Engineer, aiming to develop large-scale neural networks in collaboration with a motivated team of engineers.
Outside of technology, I enjoy playing beach volleyball and helping fellow Eagle Scout candidates on the same path. My project experience includes conducting financial analysis linking global surface temperature fluctuations to GDP for 8 prominent countries, using Python's pandas DataFrame and Tableau for data processing, analysis, and visualization. I am proficient in languages including Java, Python, TypeScript, JavaScript, Unified Modeling Language, C#, and R, and familiar with tools and frameworks such as Spring Boot, Angular, Android Studio, Bootstrap, Git, JUnit, Gradle, Pandas, Postman, Gerrit, Linux, and more. I am experienced in Agile software development methodologies and familiar with tools such as Jira, CI/CD, and Jenkins. I am open to connecting and exploring opportunities together.
Projects that I've been working on
A MERN (MongoDB, ExpressJS, ReactJS, & NodeJS) stack Hemodynamics Calculator application for the Emory University School of Medicine. This application is used daily by 10 clinicians and impacts over 1,000 patients within the intensive care unit for saving, calculating and displaying patient data and trends.
Georgia Tech Computer Science Capstone Project!An interactive GPT4 Electron.js application designed to simulate patient interactions. It leverages the power of AI to generate responses based on a variety of medical conditions, providing a user-friendly React interface for medical students to practice their diagnostic skills.
Click me!A web application that leverages custom machine learning to convert handwritten text to LaTeX code. This application utilizes a React frontend with a Flask backend, integrating a machine learning model hosted on Google Cloud's Vertex AI for handwriting recognition.
AI ATL Github Winners!A Swift-based iOS application designed to provide essential Morse code communication tools. Using advanced computer vision technology and state-of-the-art language processing, our app allows users to seamlessly communicate in Morse code. Whether you need to transmit messages in challenging situations or simply want to explore the world of Morse code, Morse Torch has you covered.
My very first Hackathon!