Yulan Feng is a Senior Software Engineer in San Diego with seven years of experience bridging language-technology research and production engineering. She has applied her cognitive science and language-tech training to build dialog systems and NLP pipelines at CMU, Nuance, and Duolingo, and now works on the Kafka ecosystem within Uber’s Data Infrastructure. Comfortable across research and full-stack development, she has shipped retention features and A/B experiments on Android as well as trained and deployed seq2seq and BERT models for meaning extraction. Her background includes an ACL Best Long Paper as an undergraduate researcher and a Master’s in Language Technologies from Carnegie Mellon, signaling a knack for turning academic insights into scalable products.
7 years of coding experience
6 years of employment as a software developer
Master of Language Technologies, Computer Science, Master of Language Technologies, Computer Science at Carnegie Mellon University
Bachelor of Arts and Sience, Honours Cognitive Science, Bachelor of Arts and Sience, Honours Cognitive Science at McGill University
Contributions:26 commits, 26 pushes, 1 branch in 2 years 6 months
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