Key Skills

Software

Labelbox

Roboflow

SuperAnnotate

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Classification

Object Detection

Segmentation

Text Summarization

Freelancer Overview

I have extensive experience in biomedical data labeling and annotation, particularly in microscopy, histology, and cellular imaging datasets. As a PhD candidate in Neuroscience, I have annotated high-resolution images of astrocytes and neural tissue, performed 3D morphometric analyses, quantified and normalized cell counts, and ensured data accuracy and reproducibility. My workflow integrates Python, IMARIS, FIJI/ImageJ, and MATLAB, allowing for efficient and precise labeling, as well as preparation of structured datasets suitable for computational analysis and AI model training. In addition to image-based datasets, I have worked with RNA-sequencing and transcriptomic data, converting complex biological data into organized, high-quality datasets for downstream analysis. My strong attention to detail, analytical thinking, and familiarity with quality control protocols ensure consistent, reliable outputs. With this combination of domain expertise, technical proficiency, and experience managing large-scale datasets, I am well-prepared to contribute effectively to AI training and data annotation projects across biomedical and neuroscience applications.

Labeling Experience

Education

Work History