Divya Reddy

Key Skills

Software

LabelImg

Prodigy

Supervisely

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Task Types

Evaluation/Rating

Text Summarization

Translation/Localization

Freelancer Overview

I am an experienced AI training and data annotation specialist skilled in LLM evaluation, text annotation, image and video labeling, and speech data analysis. I have worked on projects involving AI-generated response evaluation, self-driving car imagery annotation, object tracking, and product categorization for e-commerce AI. With a background in Electronics and Communication Engineering, I bring analytical precision to tasks like bounding boxes, named entity recognition (NER), intent tagging, and speech transcription. My expertise ensures high-quality data for training AI models across various industries.

Labeling Experience

AI prompt response evaluation

ProdigyTextEntity Ner ClassificationEvaluation Rating

The CherryOpal AI Prompt Response Evaluation project focused on refining AI-generated responses for an e-commerce LLM. Tasks included entity recognition (NER) and classification, evaluating response accuracy, coherence, and relevance, and rewriting prompts for supervised fine-tuning (SFT) to enhance AI interactions. Using Prodigy, I labeled thousands of text responses, ensuring high consistency. Adhering to strict quality guidelines, I maintained precision, contextual accuracy, and industry standards to optimize AI-driven shopping experiences. The project aimed to improve search relevance and response quality, ensuring AI-generated interactions met user expectations with high linguistic and contextual integrity across large-scale datasets.

The CherryOpal AI Prompt Response Evaluation project focused on refining AI-generated responses for an e-commerce LLM. Tasks included entity recognition (NER) and classification, evaluating response accuracy, coherence, and relevance, and rewriting prompts for supervised fine-tuning (SFT) to enhance AI interactions. Using Prodigy, I labeled thousands of text responses, ensuring high consistency. Adhering to strict quality guidelines, I maintained precision, contextual accuracy, and industry standards to optimize AI-driven shopping experiences. The project aimed to improve search relevance and response quality, ensuring AI-generated interactions met user expectations with high linguistic and contextual integrity across large-scale datasets.

2024 - 2024

Education

Work History