Senior @ Purdue CS 👨💻
My passion lies in using computer science to solve real-world problems across a range of industries, including technology, finance, e-commerce, healthcare, and insurance. With a strong foundation in data analytics, machine learning, and
software engineering, I am eager to apply my skills in internships that allow me to make a meaningful impact.
This summer, I will be joining the Data Tech Team @ Geico as a Software Engineering Intern. Let's connect to learn more about my background and how I can support your organization's initiatives!
Bachelor of Science in Computer Science
Concentration: Machine Intelligence
GPA: 3.47 / 4.00
Expected Graduation: December 2024
Summer 2024
On the Data Tech Team.
Fall 2023 (Remote)
Optimized predictive analysis and enhanced accuracy of crop yield forecasts using machine learning and custom image processing scripts.
Summer 2023
Developed Internal Tools for the Customer Support Team under the EdTech Organization.
Spring 2023 — Present
Collaborating with graduate TAs to plan and execute lab activities that reinforce course material, encourage student engagement, and improve their problem-solving abilities.
A virtual closet iOS application designed to help users organize their wardrobe, plan outfits, and share their style with friends!
Implemented key features in the Xinu OS, including process coordination, synchronization with semaphores, enhancements to the file system for efficient storage management, and deadlock detection, improving system reliability and performance.
Created an automated Python application hosted on AWS EC2 that gathers daily news from multiple sources, categorizes them, and facilitates distribution via text messages to curated news feeds.
Engineered an advanced shell interpreter in C, enhancing user interaction through features like signal handling, environment variable expansion, and an integrated line editor for an optimized command-line experience.