Runye Wang is a Data Platform Engineer with nine years of experience building data pipelines, warehouses, and ML-enabled analytics across startups and enterprise teams in New York. He has progressed through hands-on engineering roles at Peloton, Stash, and Tilting Point, bringing practical expertise in GCP data stacks, ETL, and production ML pipelines. Early research roles at Emory and CDC show a strong foundation in NLP, statistical prediction, and applied data science that informs his production work. Runye combines engineering physics rigor with computer science practice, enabling a focus on performant, well-instrumented data systems. He’s comfortable bridging research and production—turning NLP/ML prototypes into scalable pipelines—and often contributes to observability and data-quality tooling. Colleagues would describe him as pragmatic, curious, and skilled at translating academic techniques into reliable business-facing data platforms.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.), Engineering Physics and Computer Science, Bachelor of Science (B.S.), Engineering Physics and Computer Science at Emory University
High School Diploma, High School Diploma at Zhengzhou Foreign Language School
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