Annotation
Bounding boxes, Quality rating, prompt rating, labeling.
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I am a detail-oriented technical professional with over five years of experience supporting, testing, and enhancing enterprise systems in SaaS and financial environments. My recent work as a Data Annotation Associate has allowed me to develop strong skills in structuring and labeling large volumes of text and image data, applying standardized taxonomies, and ensuring high-quality, consistent datasets for AI model training. I am adept at identifying inconsistencies and errors to maintain data integrity, and I routinely collaborate with QA and research teams to refine annotation workflows. My background includes hands-on experience with tools such as JIRA, ServiceNow, Splunk, Postman, TestRail, and CI/CD platforms like Jenkins and GitHub Actions. I have exposure to both manual and automated testing, API validation, and basic programming in SQL, Python, and shell scripting. I am committed to supporting AI advancements through reliable data inputs and enjoy optimizing processes to improve dataset quality and operational efficiency.
Bounding boxes, Quality rating, prompt rating, labeling.
Master of Business Administration, Business Administration
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