Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Video

Top Task Types

Action Recognition

Audio Recording

Classification

Computer Programming Coding

Evaluation Rating

Freelancer Overview

I have hands-on experience in AI training data and model evaluation across multiple modalities, including text, code, and audio. At Alignerr, I refined AI outputs using structured rubrics to ensure factual accuracy, clarity, and fairness, while also recording audio and producing captions to support multimodal datasets. At Outlier AI, I evaluated large language model prompts and completions, applied detailed quality control (QC) checks, and provided peer feedback to maintain consistency across distributed annotation teams. My work directly improved LLM comprehension, reliability, and compliance with evolving guidelines. In addition, I contributed as a freelance software engineer at DataAnnotation.Tech, where I designed and solved coding challenges to train AI/ML systems and authored production-ready code for training pipelines. Combined with my academic project “DeRestify,” where I built scalable data pipelines and applied advanced machine learning techniques, I offer a blend of technical depth and practical evaluation expertise. This mix of engineering, annotation, and QC experience sets me apart in delivering high-quality training data for real-world AI systems.

Labeling Experience

Education

Work History