Key Skills

Software

AWS SageMaker

Data Annotation Tech

OpenCV AI Kit (OAK)

Scale AI

Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Image

Top Task Types

Action Recognition

Audio Recording

Bounding Box

Classification

Computer Programming Coding

Freelancer Overview

I have hands-on experience preparing, cleaning, and annotating datasets for AI model training across text, image, and medical data domains. At UC San Diego’s Translational Ultrasound Lab, I contributed to labeling and standardizing ultrasound scan data, creating consistent, high-quality training sets that improved reproducibility and reduced onboarding time by 50%. I’ve also delivered freelance projects where I annotated text for sentiment and intent classification, as well as image data for object detection tasks—consistently maintaining accuracy rates above 98%. What sets me apart is my mix of technical depth and annotation precision. With a strong foundation in data science (Python, SQL, TensorFlow, scikit-learn), I not only handle labeling but also design preprocessing workflows, validation checks, and quality assurance pipelines that scale. My projects, such as building an AI training chatbot dataset and optimizing geospatial data for EV placement models, highlight my ability to transform raw, messy inputs into structured, ML-ready datasets. I bring the meticulous attention to detail of an annotator combined with the problem-solving skills of an engineer.

Labeling Experience

Education

Work History