resume

UC Berkeley

B.S. in Electrical Engineering and Computer Science

• GPA - 3.71
• Clubs
  • Machine Learning @ Berkeley
  • Society of Women Engineers
  • Association of Women in EECS
• Coursework
  • Data Structures, Efficient Algorithms and Intractable Problems, Discrete Math and Probability, Structure and Interpretation of Computer Programs, Designing Information Devices and Systems I and II

Project Engineering Intern

Cubic Transportation Systems

• Developed a full-stack web application for the Boston MBTA transportation system using Flask and React to monitor over 300 devices, as well as various sales and ridership statistics
• Deployed a separate web app for tracking the location of over 100 active bus and subway trains across 6 different MBTA transit lines with real-time refresh every 2 minutes
• Configured devices in the testing environment, identified key requirements for test cases, and executed stress testing for the coin and bills cashbox in the fare vending machines

Undergraduate Machine Learning Researcher

Redwood Center for Theoretical Neuroscience

• Optimize a convolutional sparse coding model on MNIST and incorporate computational features to improve memory usage and efficiency in image factorization tasks
• Compare classification methods such as K-means, K-Nearest Neighbors (KNN), and high dimensional computing to evaluate effectiveness of convolutional sparse features
• Invited to present research at Dean's Society event at Synopsys HQ

Student Researcher

Sirota Lab at UCSF

• Apply decision trees and K-Nearest neighbors models to predict preterm birth using microbiome data stratified by body site on a phylotype level
• Compare relevant bacteria identified by the model, such as Blautia and Ureaplasma, to current microbiome literature to determine validity of connection with pre-term birth

• Cal Alumni Association Leadership Scholar (2023, 2022)

• Google Cloud Next Student Innovator

• 1st Place in Computer Science Category at Greater San Diego Science and Engineering Fair