AI Model Developer (Focus on Data Annotation and Training)
Built a Tensorflow Object Detection transfer learning model for a custom dataset of a client. Used PyTorch to automatically classify sleep stages based on a single channel. Implemented custom Python machine learning algorithms and modified open-source algorithms for data annotation tasks. • Developed model pipelines from raw image data to labeled datasets. • Performed data preprocessing, augmentation, and annotation for object detection models. • Evaluated annotation quality and model performance through iterative improvements. • Used Python libraries such as Tensorflow and PyTorch in a data labeling and AI training workflow.