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

Improving NLI Robustness via Targeted Fine-Tuning
Breaking and fixing the SNLI benchmark.
View on GitHub
Fine-Tuning TinyLlama for Medical QA
LoRA + CoT rejection sampling to answer layperson medical questions.
View on GitHub

