Machine Learning Researcher — University of Guanajuato (AI computer-vision model development and production inference pipeline integration)
The role involved building and deploying AI computer-vision model pipelines rather than manual annotation. Training and inference were implemented using computer-vision architectures (YOLO and Segment Anything) in PyTorch, and outputs were consumed through REST APIs. The work emphasized preparing and processing data for model inference and documenting reproducible workflows. • Data preprocessing and inference pipeline development • Model integration via REST APIs for downstream use • Computer-vision model development (YOLO, Segment Anything) • Reproducible research-to-production documentation