Key Skills

Software

No software listed

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Medical Dicom

Top Task Types

Classification

Data Collection

Entity Ner Classification

Evaluation Rating

Question Answering

Freelancer Overview

PhD researcher in biomedical nanotechnology with strong expertise in scientific data analysis, medical writing, and evidence synthesis. My background combines laboratory experience in nanoparticle characterization (TEM, SEM, XRD) with advanced skills in biomedical text and image analysis. I have contributed to several peer-reviewed publications indexed in Scopus and participated in international conferences focused on nanomedicine, oncology, and biology. These experiences provided me with a deep understanding of data accuracy, classification, and scientific terminology — essential skills for high-quality AI data labeling. In AI training contexts, I specialize in text evaluation, summarization, and question-answering tasks involving medical and scientific datasets. I am also familiar with data curation and labeling tools such as Labelbox, Prodigy, and CVAT, and I’m currently expanding my work toward biomedical DICOM image annotation and LLM evaluation. My multidisciplinary expertise — spanning biology, materials science, and AI-based data analysis — enables me to deliver precise, context-aware annotations that help train reliable medical and scientific AI systems

Labeling Experience

Education

Work History