Daniel Galron is a Staff Software Engineer specializing in Machine Learning at Google, where they focus on software system design and big-data challenges. With a strong academic foundation, Daniel earned a BS in Computer & Information Science and Linguistics from The Ohio State University, followed by an MS and PhD in Computer Science from New York University. Previous roles include Applied Researcher and Technical Team Lead at eBay, as well as Director of Data Science at Art Is Priceless and Senior Data Scientist at S&P Capital IQ. Daniel's expertise lies in machine translation, natural language processing, and AI technologies, utilizing languages such as C++ and Python.
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