AI Engineer Intern - Data Collection and Labeling
Developed machine learning and NLP-related pipelines for biomedical and analytics applications, focusing on data gathering and preparation for model training. Built and maintained data preprocessing and feature engineering workflows to optimize data inputs for training. Supported the creation of tools to visualize and annotate biomedical and analytics datasets for research and operational use. • Collected, cleaned, and processed diverse textual and tabular datasets used for supervised AI training. • Conducted data annotation tasks related to biomedical natural language processing. • Designed pipelines for data labeling and preprocessing in support of model training and evaluation. • Collaborated cross-functionally on tools to visualize and annotate research data.