Daniel S. is a seasoned Machine Learning Engineer with experience in video recommendation infrastructure and algorithms at TikTok and Meta. Daniel's background includes a role as a Software Engineer at Boardroom Alpha, alongside internships and research positions at Johns Hopkins University, where Daniel received the Provost’s Undergraduate Research Award. Early career experience includes a high school internship at the New-York Historical Society, focusing on educational initiatives. Daniel holds a Master's degree in Computer Science from Johns Hopkins University, with a notable GPA of 3.96, and a Bachelor's degree in Economics and Computer Science from the same institution, achieving a major GPA of 3.50.
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