Resume

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Education

B.S. in Computer Science

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

Coursework

  • Data Structures
  • OOP and Design
  • Computer Organization
  • Systems Programming
  • Algorithms