Shuling He

Shuling Shuling is a skilled software engineer with experience in various roles within prominent organizations. With a background in machine learning engineering and software development, Shuling contributed to the creation of an automated AWS-based Natural Language Processing platform during an internship at Capstone Career Global. Expertise is further demonstrated through work at Blend, where Shuling continues as a software engineer since July 2020. Previous experience includes research assistantship at Joan & Sanford I. Weill Medical College, focusing on deep learning methods for Parkinson's disease subtypes, and an internship at Microsoft, where Shuling developed an unsupervised text tokenizer. Education includes a Bachelor of Arts in Mathematics and Economics from the University of Washington and a Master of Engineering in Operations Research and Information Engineering from Cornell University.