AI Intern – Data Annotation & LLM Fine-tuning
DocumentFine Tuning
Developed and fine-tuned Large Language Models using annotated enterprise documents for question answering and summarization tasks. Led the automation of annotation workflows to expand fine-tuning datasets and reduce manual data labeling efforts. Applied active learning techniques to improve annotation efficiency and dataset quality. • Achieved a 22% improvement in LLM response accuracy through tailored fine-tuning and prompt engineering.
• Automated annotation efforts to accelerate data preparation for LLM training workflows.
• Used custom internal/proprietary tools to manage large-scale document annotation pipelines.
• Focused on legal and financial documents to enhance enterprise-grade QA and summarization capabilities.
Developed and fine-tuned Large Language Models using annotated enterprise documents for question answering and summarization tasks. Led the automation of annotation workflows to expand fine-tuning datasets and reduce manual data labeling efforts. Applied active learning techniques to improve annotation efficiency and dataset quality. • Achieved a 22% improvement in LLM response accuracy through tailored fine-tuning and prompt engineering. • Automated annotation efforts to accelerate data preparation for LLM training workflows. • Used custom internal/proprietary tools to manage large-scale document annotation pipelines. • Focused on legal and financial documents to enhance enterprise-grade QA and summarization capabilities.
2025 - 2025