Summary
Liyang Zhou is a software engineer with seven years of experience specializing in full-stack deep learning, NLP, and automation, currently building cloud-native data science platforms and HPC solutions at Bloomberg in New York. He combines hands-on ML research experience—from reproducing academic NLP results at UPenn to building math word-problem solvers at ByteDance—with production engineering skills in Kubernetes, web platforms, and deployment. Liyang has shipped tooling that scaled internal adoption (30+ users at Intel) and improved model pipelines and recall in production-style NLP tasks. He holds a BSE in Computer Science and Cognitive Science and an MSE in Data Science from UPenn, which underpins his blend of research rigor and practical system design. Notably, he leverages novel training paradigms to reduce labeling needs, reflecting a focus on efficient, data-conscious ML solutions. Colleagues would describe him as an engineer who moves models from demo to robust, cloud-native production environments.
7 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at Collingwood School
Master's degree, Data Science, Master's degree, Data Science at University of Pennsylvania
High School, High School at St. George's School