Xerxis Palsetia

Full-Stack Developer & Recently Graduated CS Student at UW-Madison

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About Me

I'm a full-stack developer with hands-on experience in API development, modern UI frameworks, ML, and data analysis. Graduated with a B.S in Computer Science at University of Wisconsin-Madison with a 3.6 GPA.

I'm quick to learn new technologies and thrive in fast-paced, high-impact environments. Known for building scalable, efficient solutions with a focus on organization, detail, and teamwork.

Education: University of Wisconsin - Madison (Sept 2022 - May 2025)

Organizations: Badger Blockchain (VP of Technology), Wisconsin Racing (Formula SAE)

Skills

💻

Programming Languages

Java, Python, Swift, C/C++, C#, Kotlin, JavaScript, TypeScript, Rust, HTML/CSS, SQL

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Frameworks & Technologies

iOS, Android, Firebase, Django, Node.js, Flask, React, React Native, Spring Boot, Git, MySQL

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Tools & Platforms

GitHub, Docker, Postman, VS Code, Xcode, Android Studio

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Cloud & DevOps

AWS, GCP, Azure, Kubernetes, Docker

Experience

Computer Science Student

University of Wisconsin - Madison (September 2022 - May 2025)

B.S Computer Science, GPA: 3.6 (Dean's List). VP of Technology at Badger Blockchain, member of Wisconsin Racing (Formula SAE). Coursework includes AI, Computer Graphics, Software Engineering, Mobile Development, and more.

Engineering Intern

Cequence Security (June 2023 – September 2023)

Implemented the Discovery Feature, enhancing resource allocation and utilization, increasing system efficiency by 30%. Developed and deployed a high-performance API module using Spring Boot and Kotlin. Achieved 80% code coverage for newly developed code, ensuring high quality and reducing production issues.

Founder/Instructor

Coding For Tomorrow (June 2020 – May 2022)

Founded an organization aimed at teaching younger students foundational coding skills. Developed and structured a comprehensive curriculum introducing programming concepts through Scratch, Python, and Java. Managed and taught multiple classes while assessing student performance through evaluations and hands-on projects.

Projects

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S&P 500 Prediction Using Markov Chains

Predicts daily S&P 500 changes using customizable k-order Markov Chains. Interactive Flask web app that processes historical CSV data using numpy and pandas, builds transition matrices, and outputs predictions with associated probabilities.

🃏

Ride The Bus - Interactive card game

Web-based implementation of the popular party card game with two different modes using different card logic. Built using vanilla JavaScript, HTML, and CSS, the game offers smooth animations, a classic theme, and a clean, responsive UI.

Premier League Match Prediction

Predicts EPL match outcomes using team performance metrics like goals, possession, and form. Java-based app that reads data from CSV files and calculates team strengths based on adjustable weighted metrics for flexible experimentation.

Contact

I'm always open to discussing new opportunities and interesting projects. Let's connect!

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