Daniel Otieno is a PhD holder in Applied Mathematics with a strong focus on utilizing data, modeling, and analysis to address real-world challenges. They are an experienced DevOps Engineer and Math Specialist, currently serving as a Senior Instructor at Scale AI, where they train and evaluate AI language models. Previously, Daniel worked as an Artificial Intelligence Engineer at NASA Ames Research Center and as a Lead Data Scientist at Turing. They have collaborated with AI teams at Invisible Technologies to enhance mathematical problem sets for training large language models. Daniel possesses over 10 years of experience in software development, cloud infrastructure, and AI model evaluation, with a passion for improving system reliability and AI performance.
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