Key Skills

Software

Appen

Label Studio

Scale AI

SuperAnnotate

Top Subject Matter

No subject matter listed

Top Data Types

Geospatial Tiled Imagery

Text

Video

Top Task Types

Bounding Box

Classification

Data Collection

Entity Ner Classification

Geocoding

Freelancer Overview

I am an Applied Machine Learning Analyst and Urban Data Scientist with hands-on experience in curating, labeling, and evaluating datasets for AI model development. My work spans text, geospatial, and multimodal data — from annotating social media content for misinformation detection to designing labeling pipelines for urban digital twins. I have used tools like Label Studio, Prodigy, and Doccano to create high-quality labeled datasets supporting NLP, sentiment analysis, and stance detection models. With a background in theoretical physics and AI research, I bring strong analytical and modeling skills to every project. My labeling expertise is complemented by experience developing BERT-based classifiers, evaluating LLM outputs, and integrating human-in-the-loop validation workflows. I focus on ensuring data consistency, clarity, and interpretability — key factors for training reliable, transparent, and high-performing AI systems.

Labeling Experience

Education

Work History