Key Skills

Software

Appen

Axiom AI

Clickworker

Datumbox

Google Cloud Vertex AI

Telus

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Video

Top Task Types

Data Collection

Diagnosis

Evaluation Rating

Object Detection

Question Answering

Freelancer Overview

Over the past three years, I’ve specialized in large-scale data labeling and AI training-data curation for multilingual NLP models, leading projects that delivered 3.2M high-quality annotations across Chinese, English, and code datasets. By implementing a rigorous multi-tier quality-assurance pipeline combining automated validation, inter-annotator reviews, and bias audits, I reduced label noise by 38% and improved downstream model F1 scores by 7.4 points. What sets me apart is my dual expertise in both annotation strategy and tooling automation: I built a semi-automated labeling workflow using Python scripts and Label Studio that cut manual effort by 40%, while also authoring internal guidelines for culturally sensitive content that are now used company-wide. Certified in medical and legal domain annotation, I’ve successfully collaborated with research teams to surface edge cases that led to two peer-reviewed papers and one pending patent. My ability to bridge annotation precision with scalable processes ensures training data that is not only accurate but also bias-aware and production-ready.

Labeling Experience

Education

Work History