Key Skills

Software

Google Cloud Vertex AI

OpenCV AI Kit (OAK)

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Text

Top Task Types

Computer Programming Coding

Data Collection

Fine Tuning

Function Calling

Question Answering

Freelancer Overview

My experience in data labeling is rooted in my deep understanding of how data should be annotated to ensure high-quality model training. As a data scientist, I have not only prepared datasets but also actively contributed to the labeling process, ensuring that data is accurately and consistently annotated. At OOCL Hong Kong, I developed automated pipelines to extract and structure data, which often required creating detailed labeling guidelines to ensure consistency across datasets. This involved defining clear annotation rules and working closely with annotators to maintain data quality. During my internship at Huawei, I worked on music-related AI projects where I curated and labeled datasets for deep learning models. This required a nuanced understanding of how to annotate complex data, such as music features, to ensure the models could learn effectively. My ability to design labeling workflows, coupled with my expertise in tools like PyTorch and TensorFlow, allows me to handle diverse data types and ensure that annotations align with the specific needs of the model. My strong attention to detail and experience in creating labeling guidelines set me apart in delivering high-quality training data for AI systems.

Labeling Experience

Education

Work History