resume

UC Berkeley

B.S. in Electrical Engineering and Computer Science

• Clubs
  • Machine Learning @ Berkeley
  • Society of Women Engineers
  • Association of Women in EECS
• Coursework
  • Machine Learning, Algorithms, Computer Security, Data Structures, Linear Optimization Models, Discrete Math and Probability, Structure and Interpretation of Computer Programs, Designing Information Devices and Systems I and II

Machine Learning Engineering Intern

Autodesk

• Developed a Wiki security screening pipeline using GPT-4 that processed over 15,000 pages to identify confidential information such as API keys, usernames/passwords, and IP hostnames
• Finetuned and deployed text classification models (DeBERTa and Llama3) using AWS Lambda to automatically route Jira tickets, reducing engineer overhead by 80% per ticket
• Selected among all Autodesk interns to demo both projects in a fireside chat with the Chief Information Officer

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

• C. Kymn*, S. Mazelet*, A. Ng, D. Kleyko, and B. Olshausen. Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks. In Proc. of Neuro Inspired Computational Elements (NICE) Conference

• Cal Alumni Association Leadership Scholar (2023, 2022)

• Google Cloud Next Student Innovator