At HUGO TECHNOLOGIES, I annotate and validate multimodal datasets for AI and machine learning projects, working across image, video, and text formats. I label data and resolve visual edge cases while following project guidelines.
I labeled over 40,000 multimodal data points using SRT, CVAT, and Labelbox, maintaining an annotation accuracy rate of over 98%. I also developed verification checklists that reduced data annotation errors by 75%.
At Atlas, I annotated image, video, text, and multimodal datasets for AI and machine learning models. I reviewed labels, resolved ambiguities with QA teams and data scientists, and contributed to refining annotation guidelines.
Earlier, at ULTIMCREDIT, I supported customers with loan and repayment enquiries, followed up on overdue payments, and negotiated payment arrangements. I also maintained records of customer interactions and account updates.

