Key Skills

Freelancer Overview

I am a detail-oriented AI evaluator and geospatial data scientist with hands-on experience in data labeling, annotation, and training data creation for AI and LLMs, particularly within geography, environmental science, and sustainability domains. My work includes developing structured datasets, taxonomy frameworks, and scenario-based problem sets to enhance AI model reasoning, accuracy, and domain depth. I am skilled in using tools such as ArcGIS, QGIS, Python (Pandas, NumPy), PyTorch, TensorFlow, and Hugging Face, with a strong background in GIS modeling, mixed-methods research, and human-in-the-loop model refinement. My projects range from climate adaptation and environmental governance to vulnerability mapping and Indigenous governance, ensuring ethical data handling and research integrity throughout the AI development lifecycle. I thrive in interdisciplinary, collaborative environments and am committed to translating complex spatial and environmental data into high-quality, machine-readable formats to support advanced AI systems.

Labeling Experience

Education

Work History