Experience

University of Southern California

• United States
• Higher Education
• 700 & Above Employee

• Project Intern

  • May 2023 - Present

  Funded RA for USC's SURE (Summer Undergraduate Research Experience) Program Wireless Devices and Systems Group • Using MatLab to optimized a Reconfigurable Intelligent Surface (RIS) for smart beamforming via a feed- back loop to iteratively increase gain for better signal connections (used for WiFi and 5G) • Calibrating and experimenting a fully functional Reconfigurable Intelligent Surface using a VNA Funded RA for USC's SURE (Summer Undergraduate Research Experience) Program Wireless Devices and Systems Group • Using MatLab to optimized a Reconfigurable Intelligent Surface (RIS) for smart beamforming via a feed- back loop to iteratively increase gain for better signal connections (used for WiFi and 5G) • Calibrating and experimenting a fully functional Reconfigurable Intelligent Surface using a VNA



USC Viterbi School of Engineering

• United States
• Higher Education
• 700 & Above Employee

• Machine Learning Intern

  • May 2023 - Present

  Epstein Department of Industrial and Systems Engineering • Qualifying additive manufacturing using ML • Using R to automate the registration process of a scan - Automated the registration based on virtual features of a cloud point mass - Minimized the axes of inertia of a cloud based object by sampling points and decomposing the inertial tensor matrix into its eigenvalues and eigenvectors to automate the rotation of an object along axes of symmetry • Minimizing data needed to obtain validating results Show less



Boeing

• United States
• Aviation & Aerospace
• 700 & Above Employee

• Software Engineer Internship

  • Jun 2021 - Aug 2021

  Worked as a software intern at Boeing. Using Java, I created a program to propagate orbits and detect potential collisions, learning how to deal with large amount of data (tens of thousands of satellites and space junk that were continually propagated and compared). Implemented parallel stream multithreading to simultaneously check each satellite for collisions in Java to predict collision times for the next 10 years Worked as a software intern at Boeing. Using Java, I created a program to propagate orbits and detect potential collisions, learning how to deal with large amount of data (tens of thousands of satellites and space junk that were continually propagated and compared). Implemented parallel stream multithreading to simultaneously check each satellite for collisions in Java to predict collision times for the next 10 years