Rudy Madrigal

Computer Science student with experience in full-stack development and parallel computing. Built scalable applications using Java Spring Boot and Vue.js, and developed GPU-accelerated systems in CUDA achieving 125× performance improvements. Seeking a software engineering internship to apply problem-solving and system design skills.

GitHub: github.com/rudmad13

Campus Hive (Capstone Project) | Java, Spring Boot, Vue.js

• Built an event discovery and coordination platform for on- and off-campus activities, allowing students and faculty to create, browse, and join events
• Developed RESTful backend services using Java Spring Boot to manage event data and user interactions
• Designed a responsive frontend using Vue.js to enhance user experience and accessibility
• Implemented user authentication and authorization for secure account management
• Collaborated in a team environment using Git for version control

UML Editor | Java, Maven, GitHub

• Developed a UML diagram editor in Java, enabling users to create and modify class diagrams
• Implemented core features such as object creation, relationships, and diagram editing functionality
• Collaborated in a team of 5 using Agile/Scrum methodology to manage development and deliver iterative updates
• Utilized Maven for project build and dependency management
• Used GitHub for version control and team collaboration

MD5 Password Cracker (CUDA Project) | CUDA, C

• Developed a GPU-accelerated password cracker targeting MD5 hashes for passwords up to length 8
• Implemented the MD5 hashing algorithm in CUDA, enabling parallelized hash computation across GPU threads
• Designed parallel brute-force logic and compared performance against a sequential CPU implementation
• Achieved approximately 125× speedup over CPU execution through GPU-based parallel processing
• Collaborated with a teammate to develop, test, and optimize system performance