Yang L.

Yang L. has a strong background in computer science and machine learning, holding a Master of Science degree from UC Irvine and a Bachelor of Science degree in Mathematics and Statistics from the University of Washington. Experience includes roles as a Research Engineer Intern at Clobotics Global, where Yang L. applied computer vision models, and as a Software Engineer Intern at Zillow, focusing on A/B testing analysis and user feature data generation. Yang L. has also held positions as a Reader at UC Irvine, grading software engineering assignments, and currently works at StubHub on Paid Search Experimentation and at Meta in software engineering with a focus on recommendation systems. Additionally, Yang L. has made contributions in developing efficient classification data labeling pipelines and cloud processes to enhance model improvement and reduce manual efforts.