Nicholas Chiang is a skilled software engineer with diverse experience in designing and developing web applications and user interfaces. Currently, at Numbers Station AI since June 2022, Nicholas focuses on front-end user interface development for a cutting-edge machine learning platform. Previously, at Roote, from March to August 2022, Nicholas created a web app to interact with articles and associated tweets, employing Hive and Rekt rankings for content categorization. Prior experience includes creating a web app for Tutorbook, which connected students with volunteer tutors and mentors, benefiting over 5000 students and 1000 volunteers. Nicholas also gained valuable experience as a research intern at Stanford University, where a methodology for building hardware component knowledge bases using machine learning was developed. Currently pursuing a Bachelor of Science in Computer Science at Brigham Young University, with an educational background from Gunn High School.
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