Key Skills

Software

OpenCV AI Kit (OAK)

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Segmentation

Freelancer Overview

I am a Computer Science graduate with hands-on experience in data annotation, dataset engineering, and building end-to-end AI training pipelines, especially within computer vision and medical imaging domains. My expertise includes Python (Pandas, NumPy, PyTorch), SQL, Power BI, and advanced Excel, enabling me to conduct thorough data audits, validate image–mask pairs, and design robust EDA workflows. I have worked on projects involving diabetic retinopathy detection and skin disease segmentation, where I managed large-scale image datasets, ensured annotation quality, and implemented reproducible ML pipelines. I am skilled in using tools like Google Colab, Jupyter Notebook, and GitHub, and have leveraged LLMs for automating data validation and report generation. My background in HR and recruitment has also strengthened my attention to detail and ability to translate real-world requirements into precise data labeling and annotation tasks, making me well-suited for roles focused on high-quality AI training data.

Labeling Experience

Education

Work History