AI Training Intern
As an AI Training Intern, I developed Python scripts for anomaly detection on structured datasets. My work focused on applying automation techniques to improve the efficiency of data analysis processes. This experience involved hands-on tasks directly related to AI model training and workflow simulation. • Prepared and labeled structured text data for anomaly detection algorithms. • Implemented and tested pipeline automation to streamline manual labeling and validation. • Collaborated with mentors to identify labeling edge cases and maintain data quality. • Documented findings to ensure reproducibility and facilitate knowledge transfer.