GenAI/LLM Data Labeling & Prompt Engineering
As a Data Scientist at Verizon, I contributed to prompt engineering, fine-tuning, and evaluation for LLM-based GenAI tools. My responsibilities included prompt design for classification, summarization, and information extraction, as well as tuning OpenAI models and optimizing context-aware prompt chains. I processed and indexed unstructured data, including PDFs, images, and chat transcripts, for ingestion into LLM pipelines. • Fine-tuned and evaluated prompts for LLMs to enhance GenAI tool performance • Processed and labeled unstructured data, such as documents and chat logs • Used OCR and unstructuredPDFLoader tools to prepare diverse data types for model training • Tuned and optimized OpenAI models and prompt chains for contextual LLM interactions