Key Skills

Software

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Top Subject Matter

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Top Data Types

Document

Top Label Types

Prompt Response Writing SFT

Freelancer Overview

I bring over five years of experience working with complex legal and regulatory data prior to AI, specializing in data annotation, structured document review, and workflow optimization across high-volume projects. My background includes hands-on expertise with tools such as Relativity (eDiscovery), LexisNexis Time Matters, and now, no-code AI development platforms like Lovable, where I have applied prompt engineering and multi-step reasoning to generate, structure, and QA training data for digital consumer protection solutions. I have managed rigorous data labeling and annotation tasks involving sensitive medical, legal, and financial records, always maintaining strict compliance and quality control standards. My recent work centers on leveraging generative AI and information architecture to transform dense regulatory content into accessible, actionable formats—skills that translate directly to high-quality AI training data workflows in domains such as legal tech, financial literacy, and consumer protection.

Labeling Experience

Education

Work History