I'm Niurka Vanesa Yupanqui, a Software & Systems Engineering student at EPN, Quito, Ecuador, building toward an MLOps career: training models, containerizing them, and shipping the infrastructure that keeps them running in production.

My main project takes a model from notebook to a secured, CI/CD-tested API — training → containerize → serve → test → secure. I also work across the stack (frontend, graphics) when a project calls for it.

Open to: ML engineering internships · undergraduate research collaborations · open source contributions

prediccion-del-abandono-estudiantil Student dropout prediction — end-to-end ML pipeline built for the ADA Lab application. Keras neural network (AUC-ROC 0.9443 after leakage correction), served via FastAPI, containerized with Docker, tested with pytest (10 tests), CI/CD via GitHub Actions. Currently hardening security: API key auth, Pydantic validation, rate limiting.

MLOps / Deployment

ML / Data

Languages

Cloud & Tools

Also into: Frontend & Graphics