Key Skills

Freelancer Overview

I am a computer scientist and data engineer with over six years of experience building and optimizing data annotation platforms and workflows for machine learning pipelines, primarily in computer vision domains. My expertise spans end-to-end ETL, annotation program design, and quality control, with hands-on experience using tools like CVAT, Labelbox, and custom annotation solutions. I have led projects architecting scalable annotation pipelines, integrating consensus labeling and automated QA processes that significantly reduced label error rates and improved model performance. I am skilled in Python, PySpark, SQL, Airflow, and AWS, and have managed cross-functional teams, vendor partnerships, and large-scale dataset operations. My focus is on delivering robust, cost-effective data solutions that accelerate model development and ensure high-quality training data.

Labeling Experience

Education

Work History