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Chelsea Ramos

Machine Learning Engineer | MSAI @ UT Austin '26

About Me

I’m a Machine Learning Engineer based in the San Francisco Bay Area. I’m originally from Honolulu, Hawai’i 🌺 and a 1st gen student. Let’s connect!

I’m currently a graduate student at UT Austin actively searching for my next challenge, ideally an MLE role.

Over the years, my career has evolved from hardware to software. I started out with a B.S. in Electrical Engineering from the University of Washington and spent 2+ years as a Product Engineer in the semiconductor industry. It was there that I first picked up Python, taking the initiative to automate manual data processing workflows for my team.

In 2020, I leaned into my interest in Machine Learning and transitioned into Data Science. In over 2+ years as a Data Engineer, I focused on enhancing ML infrastructure and working with NLP. Now at UT Austin, I’m deepening that expertise and working on some exciting projects with a stronger foundation in the math and theory and new skills to read and write research papers!

Projects

Project 1

VQA for Bioavailable Iron using Small VLMs

Can small VLMs predict bioavailable iron?

View on GitHub
Project 2

Improving NLI Robustness via Targeted Fine-Tuning

Breaking and fixing the SNLI benchmark.

View on GitHub
Project 3

Fine-Tuning TinyLlama for Medical QA

LoRA + CoT rejection sampling to answer layperson medical questions.

View on GitHub
Project 4

LLM Tutorial for AI in Healthcare

View on GitHub
Project 5

EDA & Predictive Modeling Tutorial for AI in Healthcare

View on GitHub

Posts

Creating a Website with Hugo & GitHub Pages