Summary
Alex Villa is a computer science and engineering student at UC Merced with a strong focus on high-performance and parallel computing, backed by hands-on internships at Los Alamos National Laboratory where he optimized FleCSI for CPU/GPU task parallelism and refactored code for Legion and C++17. As a student tech consultant on the Cyberinfrastructure & Research Technologies team, he bridges research and production by training HPC users, creating documentation, and contributing to web tooling for cluster users. He pursues GPU acceleration and machine learning side projects, pairing software-first thinking with hardware awareness to deliver performant, safe distributed code. Always open to academic and industry collaborations, he brings an unusual blend of front-facing user support and low-level parallel systems development experience for an undergraduate.
12 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Science & Engineering, Bachelor's degree Computer Science & Engineering at University of California, Merced