Daniel Crawford is a passionate Machine Learning Engineer with 11 years of combined professional and academic experience. They currently serve as the Founding Machine Learning Engineer at Dunedain, where they focus on deep learning, NLP/LLMs, and software development. Daniel previously held roles as a Data Analyst/AI Engineer at Optimal Dynamics and a Machine Learning Engineer at Eccalon, LLC, leading innovative projects in AI and data science. They earned multiple advanced degrees, including a Master of Engineering in Industrial Engineering and a Master of Science in Computer Science with a focus on Machine Learning from New Mexico State University and Georgia Institute of Technology, respectively.
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