— Introduction
Passionate about AI/ML, software engineering, and creating innovative solutions. Currently pursuing Computer Science with a Statistics minor at the University of Florida with a 4.0 GPA 😎.

I'm a Computer Science student at the University of Florida with a Statistics minor, maintaining a perfect 4.0 GPA. My passion lies at the intersection of machine learning, software engineering, and data science.
From optimizing airfoil performance with reinforcement learning at the Naval Surface Warfare Center to engineering distributed data pipelines and deploying machine learning models at Regal Rexnord, and building autonomous vehicle systems, I enjoy tackling diverse challenges that push the boundaries of technology.
When I'm not coding, I'm actively involved in SHPE and GatorTech, lifting, learning new languages, playing the Guitar and Tuba, and exploring the world through travel and outdoor adventures.







I'm (mostly) fluent in Spanish and English, and am currently learning Russian to connect with my family heritage. This 400+ day Duolingo streak represents my commitment to breaking down language barriers in our global tech community.
Hover over milestones to learn more about my journey!
Fairfield University Research Symposium
Fairfield, CT
LightBox
Shelton, CT
University of Florida
Gainesville, FL
Society of Hispanic Professional Engineers
Gainesville, FL
Naval Surface Warfare Center
Remote
Regal Rexnord
Grafton, WI
Computer & Information Science Scholarship
University of Florida
John & Mittie Collins Engineering Scholarship
University of Florida
University of Florida
Gainesville, FL
Roblox
San Mateo, CA






Upcoming internship focused on software engineering within the Roblox platform, contributing to scalable systems and innovative features for millions of users worldwide.

Engineered distributed data pipelines and deployed high-throughput machine learning models, improving data quality and boosting record-matching accuracy by 25% in production.

Implemented a Deep Deterministic Policy Gradient agent in MATLAB to optimize airfoil performance, achieving a 50%+ increase in aerodynamic efficiency. Utilized XFOIL and Blade Element Momentum theory for physics-based reinforcement learning.

Automated data setup post-natural disasters using Python CLI applications, improving query speeds by 50%. Implemented standard data collection practices with environmental APIs and created web maps using ArcGIS.

I'm always interested in new opportunities, research collaborations, and exciting projects. Whether you're looking for a machine learning engineer, full-stack developer, or research partner, let's discuss how we can work together.