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ImageI am an experienced data annotator and prompt engineer with a strong background in AI/ML data operations, specializing in NLP tasks such as LLM evaluation, prompt engineering, hallucination tagging, PII redaction, sentiment and toxicity labeling, and named entity recognition. My work spans labeling and reviewing large multilingual datasets, building Python utilities for bulk data cleaning and validation, and maintaining high inter-annotator agreement and QA acceptance rates. I am skilled with tools like Python (pandas, regex, spaCy), Tableau, Power BI, SQL, and Excel, and have contributed to improving dataset quality and compliance for AI training data in both marketplace and consulting environments. My attention to detail and commitment to data quality enable me to deliver reliable and scalable training data solutions for advanced AI models.
• Annotated 10,000+ posts across 3 languages for sentiment (positive/negative/neutral), toxicity, and intent.
• Designed & iterated task-specific prompt instructions across 50+ scenarios (math, coding, creative writing).
• Drew & refined bounding boxes & segmentation masks for 8,000+ retail product images.
Curated & verified 2,000+ competition-level math problems (algebra, calculus, geometry).
Master of Science, Supply Chain Management and Purchasing
Master of Science, Supply Chain Management And Purchasing
Key Accounts Manager-Supply Operations
Key Accounts Manager, Supply Operations
