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Daniel Kim

Previous Intern at Twitter | CS and History Major at Yale

Daniel Kim is a student, developer, and researcher specializing in software development with a keen interest in machine learning and artificial intelligence.

During an internship at Twitter, Daniel worked on ML projects involving the creation of an ML catalog and the development of TFX components for feature data and XGBoost models.

His experience includes working on a variational autoencoder project at Gerstein Labs, where he utilized Keras for multilayer perceptrons and Python for large-scale data processing and classification.

Daniel also has a history of projects involving data visualization, statistical analysis, genomic structural variant classification, and automation of data pipelines.

He has a Bachelor's degree in Computer Science, Statistics, and Data Science from Yale University, and he has prior experience as a Software Engineer Intern, a Data Analyst, a Web Developer, and a Researcher at various organizations.

Daniel Kim
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Location

Randolph, New Jersey, United States