Software Engineer Intern (AI-powered automation, auto-cropping pipeline)
Developed and deployed an AI-powered automation pipeline for document processing using YOLO, focused on auto-cropping and employment initiation classification. Built workflows that programmatically determined the start of background verification based on employment data, leveraging machine learning for automation. Integrated production-grade modules to reduce manual intervention by 90% for key labeling tasks. • Utilized object detection to process and annotate document images automatically. • Designed classification models to parse and identify relevant employment attributes. • Applied large language models (LLMs) for decoding document content and workflow triggers. • Achieved significant reductions in manual review time via automated labeling pipelines.