Tiffany Kay

Key Skills

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Scale AI

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Computer Programming Coding

Data Collection

Freelancer Overview

I am a Ph.D.-level machine learning engineer with over 8 years of experience building and deploying scalable AI systems in computer vision and environmental monitoring. My expertise includes designing and implementing data pipelines for large-scale satellite imagery analysis, developing and evaluating deep learning models, and ensuring the quality and accuracy of training data through rigorous code reviews and data annotation best practices. I have hands-on experience with Python, PyTorch, TensorFlow, and distributed systems, and have led projects involving real-time image classification and predictive modeling. I am highly skilled at reviewing AI-generated code, assessing model performance, and providing structured feedback to ensure high-quality training datasets. My background also includes collaborating with research and industry teams, publishing peer-reviewed papers, and contributing to open source ML frameworks, making me well-versed in both technical implementation and the critical importance of high-quality labeled data for AI success.

Labeling Experience

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Completing data annotation tasks, such as image labeling, transcription, and 3D point cloud annotation, to train and develop Artificial Intelligence (AI) and machine learning models. It offers flexible, remote work, providing training for beginners to perform tasks that help AI recognize objects, understand, and learn.

Completing data annotation tasks, such as image labeling, transcription, and 3D point cloud annotation, to train and develop Artificial Intelligence (AI) and machine learning models. It offers flexible, remote work, providing training for beginners to perform tasks that help AI recognize objects, understand, and learn.

2022 - 2023

Education

Work History