California Polytechnic State University, San Luis Obispo | Expected Graduation in
June 2026
Experience
Software Development Intern
Researched and developed advanced autoencoder-based deep learning models (using TensorFlow) tailored for anomaly detection,
specifically targeting the identification of aberrant user-entitlement relationships
Engaged in the transformation of research-oriented code into a production-grade solution, crafting modular classes and
abstracting key product elements to ensure scalability and maintainability
Software Development Intern
Redesigned the goDeskless enterprise collaboration and communications application using Figma and began implementation with the Django framework
Reduced the number of clicks for the application onboarding process by 10%
Software Development Intern
Designed and developed a WatchOS version of the PWR Lab application using Swift, integrating features with core backend services
Significantly improved capabilities for the go-to-market strategy by developing landing pages for racing events