Summary
Judith Greenwood is a software engineer at Audible with a decade of experience blending data science, machine learning, and software development. A Yale graduate with dual majors in Statistics & Data Science and Humanities, she brings a rare humanities-informed perspective to technical problems, exemplified by an undergraduate thesis on Bible translation and Jewish movements. Her projects include building language-classification models and a single-word translation feature for the Babylonian Talmud at Sefaria, where she also led large-scale text alignment and data-cleaning efforts. Comfortable with both modeling (SVMs, POS tagging) and production engineering, she excels at turning messy, culturally rich datasets into usable tools. Based in the New York City area, she leverages liberal-arts curiosity to drive practical, user-focused engineering solutions.
10 years of coding experience
Data Structures and Algorithms, Game Theory, Data Structures and Algorithms, Game Theory at Johns Hopkins Center For Talented Youth (CTY)
High School Diploma, High School Diploma at The Frisch School
Bachelor of Arts - BA, Statistics and Data Science, Bachelor of Arts - BA, Statistics and Data Science at Yale University
Yeshivat Har Etzion