resume
Education
- 2022-2026
UC Berkeley
B.S. in Electrical Engineering and Computer Science
- Clubs
- Accel Scholars
- Machine Learning @ Berkeley
- Society of Women Engineers
- Association of Women in EECS
- Coursework
- Machine Learning, Operating Systems, Computer Graphics, 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
- Clubs
Experience
- Aug 2025 - Present
Google
Software Engineering Intern
- Integrating JAX-based quantized ML models with YouTube's custom accelerator ASIC (Argos) for video transcoding by converting models into graphical representations for silicon protobufs and running quantization aware training
- May 2025 - Aug 2025
Microsoft
Software Engineering Intern
- Enhanced one of 9 official AI Foundry customer templates by integrating a multi-agent conversational framework via Semantic Kernel, leveraging custom agents with Azure AI Translation and Azure Language Services (CLU, CQA)
- Open-sourced contributions on GitHub (60+ stars, 50+ forks) with 400+ customer provisions on Azure in a month
- Collaborated with the Semantic Kernel team to identify and fix bugs in agent orchestration techniques
- May 2024 - Present
Autodesk
Machine Learning Engineering Intern
- 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
- June 2023 - Aug 2023
Cubic Transportation Systems
Software Engineering Intern
- 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
Publications
- 2024
- 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
Honors and Awards
- 2023
- Cal Alumni Association Leadership Scholar (2023, 2022)
- 2023
- Google Cloud Next Student Innovator
Projects
-
N3CTAR - Neural 3D Cellular Tessellated Automata Rendering
- Developed a 3D triangle mesh to 3D voxel pipeline utilizing Barycentric coordinates and FloodFill
- Implemented a real-time interactive renderer for a trained 3D convolutional neural network (simulating neural cellular automata) to enable user-driven voxel destruction and regeneration
-
Provable Robustness for Deep Classifiers
- Implemented the Fast Gradient Signed Method (FGSM) adversarial approximation attack on a trained MNIST classifier and created a robust training regime by optimizing over the non-convex dual value
-
Generating New Yorker Cartoons with Stable Diffusion
- Finetuned stable diffusion using Dreambooth to output images in the style of New Yorker cartoons