Catherine Lee

Machine Learning Engineer & Software Engineer & Hobbyist Researcher

United States

CL

About

I am passionate about working across the software stack, with expertise in machine learning and distributed systems. In addition to my technical work, I actively engage in research, dedicating my free time to studying the latest advancements in machine learning and contributing to open-source machine learning projects. On any given day, you'll likely find me fitting models on my RTX 3090, eventually resorting to cloud compute--all while wearing a shirt that showcases the Chinchilla Scaling Laws.

Work Experience

Amazon

2025 - Present

Software Engineer, Machine Learning

Working on the software engineering and machine learning side at Amazon Prime Video Recommendations.

Lamini AI

2024 - 2024

Machine Learning Engineer

Building the LLM platform for engineers to use customized, private models for their data. Building the training and finetuning abilities underneath, for better performing models compared to general-purpose LLMs.

Google

2022 - 2024

Software Engineer

YouTube Ads Creative Optimization.

Snapchat

2021 - 2021

Software Engineer, Machine Learning Intern

Vision Transformers on the Perception team.

Adobe

2020 - 2020

Machine Learning Intern

Explored multi-arm bandit algorithms for content recommendation (collaborative contextual bandits) such as LinUCB for personalization and used GloVe embeddings for queries.

Amazon

2019 - 2019

Software Engineer Intern

Built fullstack application in Java using microservices, API Gateway, AWS Lambda, Kinesis, Cloudformation, DynamoDB, S3, CQRS, Event Sourcing, and Dependency Injection. Created a reactive dashboard to monitor the statuses of individual contract workflows with Javascript (SvelteJS).

Education

Stanford University

2024 - Current
Artificial Intelligence Graduate Certificate

University of California, San Diego

2019 - 2022
Bachelor's Degree in Computer Science

Skills

Pytorch
Openai Triton
Kubernetes
Docker
PostgreSQL
SQL
C++