AI-Powered Data Labeling & Classification Workflows (Data Engineer at Stears Inc)
TextClassification
Developed and managed LLM workflows to research, classify, and extract company, transaction, and fund attributes from web data. Built QA pipelines utilizing large language models (LLMs) for attribute validation, significantly reducing manual review time. Developed AI-powered automations leveraging Claude and OpenAI to structure and assess business-critical datasets for client-facing applications.
• Designed workflows integrating AI models for text classification and attribute extraction.
• Maintained robust validation systems for improving label accuracy using LLMs.
• Oversaw process automation for scalable annotation and review tasks.
• Achieved a 70% reduction in manual data review time via intelligent QA processes.
Developed and managed LLM workflows to research, classify, and extract company, transaction, and fund attributes from web data. Built QA pipelines utilizing large language models (LLMs) for attribute validation, significantly reducing manual review time. Developed AI-powered automations leveraging Claude and OpenAI to structure and assess business-critical datasets for client-facing applications. • Designed workflows integrating AI models for text classification and attribute extraction. • Maintained robust validation systems for improving label accuracy using LLMs. • Oversaw process automation for scalable annotation and review tasks. • Achieved a 70% reduction in manual data review time via intelligent QA processes.
2024 - Present