George Urgiles
Available for internships and technical collaborations
Building ambitious software with polish, systems thinking, and taste.
I am a Computer Science student at the University of San Francisco focused on AI, applied machine learning, and full-stack engineering. My work sits between product execution and technical depth: legal-tech automation, secure desktop tools, real-time interfaces, and performance-minded open source.
2026
B.S. Computer Science
25M+
Open-source project reach
AI + UX
Specialization blend
Profile
Intentional work, not template work.
I like software that looks sharp, behaves predictably, and carries real technical weight underneath. That applies equally to a production tool, a portfolio, or a systems project.
My background combines academic training in computer science with hands-on execution across AI tooling, secure applications, and product-facing interfaces. I gravitate toward projects where implementation quality matters as much as the idea itself.
Current interests include applied machine learning, automation systems, performance-sensitive software, and interface design that feels considered instead of generic.
Artificial Intelligence
Machine Learning
Systems Programming
Product Design
Security
Data Pipelines
Systems Engineering Intern
Keller Law Group
Worked on document parsing engines and GPT-4-driven automation flows, with an emphasis on throughput, extraction quality, and practical legal-tech workflows.
B.S. in Computer Science
University of San Francisco
Specializing in artificial intelligence and machine learning while building a broader foundation in algorithms, systems, and software engineering.
Build Pattern
Independent and collaborative projects
Typically drawn to products that need both technical credibility and refined user experience, especially where automation or real-time feedback creates leverage.
Selected Work
Projects with technical range.
The mix here is deliberate: interface work, systems work, automation work, and public-scale open source. Together they show the kind of engineer I am.
Open Source / Performance
25M+ reach
Enhanced Block Entities
Contributed to a large-scale Minecraft optimization mod focused on reducing rendering overhead through efficient rendering logic and performance-minded engineering.
Desktop Tooling
Open project
Spotify Desk Thing
Python-based hardware interface for real-time playback telemetry on a dedicated desk display.
Mobile / Discovery
Open project
LA-PULSE
Event discovery concept for Los Angeles built around live information, cleaner search, and a sharper city-first experience.
Systems / Shell
Systems
Unix Shell
Built a POSIX-style shell in Java with command execution, piping, job control, and signal handling. Good example of low-level problem solving and behavior-focused implementation.
Next Move
Looking for work that values technical judgment and finish quality.
I am most useful on engineering teams that want someone who can ship interfaces, think clearly about systems, and handle AI-enabled product work without treating it like a gimmick.
San Francisco
AI, Full-Stack, Systems
USF Computer Science
Internships / collaborations