Chelsea Ramos

Data Engineer & MS AI Graduate | ML Infrastructure & MLOps

About Me

I’m a Machine Learning & Infrastructure Engineer based in the San Francisco Bay Area (originally from Honolulu, Hawai’i 🌺 and a first-generation student!). I specialize in bridging the gap between AI research and production systems.

My background actually started in hardware before I moved into software and data science. After earning my B.S. in Electrical Engineering from the University of Washington, I spent two and a half years as a Product Engineer in the semiconductor industry, where I first fell in love with Python and automation.

From there, I transitioned into Data Engineering. I spent the next two and a half years building scalable data pipelines, optimizing ML infrastructure, and productionizing NLP models. To deepen my theoretical foundation, I recently finished my M.S. in AI at UT Austin, focusing on the mathematical foundations of ML, optimization, and translating research papers into code (while learning how to write my own papers along the way!).

I love taking messy data and building the right systems around it, either by deploying simpler, lightweight models or productionizing complex AI research. Let’s connect! :)