Data Labeling
Creating training datasets from satellite imagery corresponding to the desired LULC classification. Automated the labeling process for faster and more precise product.
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Data Labeling. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, VNU University of Science (2027). AI-training focus includes data types such as Text and labeling workflows including prompts writing, LLM answers ratings and reviewing data labeling tasks.
Creating training datasets from satellite imagery corresponding to the desired LULC classification. Automated the labeling process for faster and more precise product.
Rating LLMS responses based on given criterias to improve model performance. Rate and fix other workers' labeling task for the best model output in developing the new Gemini personalization module.
I wrote question and answer pairs in the field of Geography to support training an AI model. This work required careful curation of relevant subject matter and detailed formulation of both questions and answers. The goal was to enhance the AI’s comprehension and accuracy in Geography-related queries. • Developed comprehensive question-answer sets for Geography • Focused on accuracy, clarity, and topic relevance • Closely followed AI training guidelines and data standards • Collaborated with project coordinators to meet labeling targets
Bachelor of Science, Geospatial Information Science
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