Data Annotation & AI Evaluation Specialist

Annotated and categorized images, text, and search results according to detailed project guidelines. Delivered high-volume remote work under strict deadlines while maintaining accuracy and consistency.

Reviewed and validated annotation outputs, corrected inconsistencies and edge-case errors, and documented labeling rationale. Collaborated with project leads through written communication and calls to resolve ambiguous instructions and improve guideline adherence.

Labeled and validated image and text datasets using structured criteria, project parameters, and task-specific annotation guidelines. Evaluated search quality and maintained consistent, error-free labeling.

Documented labeling logic to support alignment among teammates and stakeholders. Adapted to updated standards and new platform features while preserving quality and productivity.

Design, build, test, and deploy live community, fintech, and AI-audio products as a fully remote and self-managed developer. Create authenticated, database-backed workflows for production applications.

Use React, Next.js, TypeScript, Node.js, Clerk, PostgreSQL, and Drizzle ORM for web development. Also developed a Python desktop application for real-time voice processing and local GPU model training, while maintaining documentation for application flows, administration systems, and APIs.

Contributed to Quick Med, an Android medical-emergency application with emergency selection, ambulance and hospital screens, maps, accounts, and payment features.

Collaborated in a startup environment on requirements, debugging, testing, navigation behavior, and interaction states. Helped improve the usability and reliability of frontend application flows.

Master of Science in Accounting; ongoing.

Bachelor of Science in Computer Science.