Key Skills

Freelancer Overview

I am a detail-oriented Remote Sensing and Geospatial Scientist with over four years of experience working with large-scale satellite and environmental datasets, specializing in data annotation, labeling, and the development of automated pipelines for AI training data. My background includes designing and implementing advanced computer vision techniques using Python, OpenCV, and Scikit-learn to isolate and segment geospatial features from satellite imagery, as well as applying statistical and machine learning models for environmental prediction. I have extensive hands-on experience with data processing tools such as ArcGIS Pro, QGIS, Google Earth Engine, and cloud-based workflows, and have managed multi-terabyte datasets for atmospheric modeling and environmental monitoring projects. My work has consistently improved the accuracy, efficiency, and reproducibility of data labeling and annotation processes, making me adept at supporting robust AI and machine learning solutions for scientific and real-world applications.

Labeling Experience

Education

Work History