Key Skills

Software

AWS SageMaker

Data Annotation Tech

Top Subject Matter

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Top Data Types

Computer Code Programming

Top Task Types

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Freelancer Overview

Selected for high-priority AI training projects for Google, Meta, Anthropic, and OpenAI, improving state-of-the-art language models through evaluation of 55+ specialized projects spanning programming languages, mathematics, physics, data science, and business domains, including synthetic data generation, benchmarking, AI API integration, tool-calling evaluation, agentic AI systems, model reasoning analysis, fine-grained criteria development, code agent comparison, and various other annotation tasks • Contributed directly to OpenAI’s SWE-bench Verified project, annotating software engineering tasks from GitHub repositories to create human-validated benchmarks for AI model evaluation • Evaluated LLM performance in complex scenarios including API tool-calling, calendar integration, backend/frontend prompt templating for AI-assisted mobile apps, and many UX/UI tasks involving web application generation using HTML, CSS, JavaScript, TypeScript, React, and other web development stacks, along with Python unit testing • Conducted comparative analysis of leading AI code agents including Devin vs Jules and OpenHands vs Jules evaluations, identifying security vulnerabilities and code quality issues; evaluated Cursor Pro for automated code workflows • Created fine-grained evaluation criteria and rubrics for multi-turn conversations, model reasoning traces, and code correctness assessments; reviewed AI-generated code diffs and pull requests for quality, documentation, and test coverage • Granted high trusted reviewer status with access to review submissions across all assigned projects; selected for critical priority tasks and urgent deadlines; gained exclusive access to higher-paying research projects through consistent high-quality contributions

Labeling Experience

Education

Work History