Scale AI
Melad Sabagh is an AI Trainer at Scale AI, responsible for the training and refinement of generative AI models, particularly enhancing coding capabilities. Previously, Melad held positions as a Software Engineer Intern at foam, focusing on backend API development, and as a Machine Learning Research Intern at UC Berkeley College of Computing, Data Science, and Society, where improvements to emotional classification models were made using advanced techniques. Additionally, Melad interned at FanX, where backend management for web applications was successfully executed, leading to enhanced functionality and user interaction. Melad holds a Bachelor of Arts in Computer Science from the University of California, Berkeley.
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Scale AI
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Trusted by world class companies, Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more