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Eric is a data scientist who loves exploring new frameworks to make development more efficient, stable, and organized. He has experience in building deep learning models throughout the full pipeline from data labeling to cloud‑based inference, as well as work leveraging Bayesian methods in agriculture. His current obsessions include experimental design, representation learning, and ML ops.