Data Operations Intern
During my Data Operations Internship at Torch.AI, I worked with machine learning data pipelines and model outputs. My main responsibility was to validate and check the integrity of AI-generated results, with a focus on analyzing the logical consistency of labeled outputs given the test data. I documented behaviors, edge cases, and organized datasets to support the AI training process and address corner case failures. • Assessed machine learning (ML) output quality using quantitative reasoning. • Organized and structured diverse test datasets for model evaluation. • Identified pipeline anomalies and documented edge cases during evaluation. • Supported integration of output validation analytics within product development.