Haoshen Hong is a Software Engineer in New York with a decade of experience specializing in ML and NLP, currently building systems at Google. He combines research-rooted rigor—from a UCSD applied math degree and Stanford MS coursework—with hands-on production expertise, having accelerated URL classification training from 20 hours to 16 minutes on TPUs and improved accuracy through token- and char-aware CNNs. Past roles include research on CNN feature-level behavior and practical NLP work on reading-comprehension models, giving him depth across model design, embeddings, and distributed training. Known for resolving TensorFlow/TPU compatibility challenges and integrating models into large-scale service pipelines, he bridges experimental research and reliable production deployment.
10 years of coding experience
1 year of employment as a software developer
University of California San Diego
High School Diploma, High School Diploma at Shanghai Kongjiang High School
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
Contributions:10 commits, 2 pushes, 1 branch in 1 month
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