Megan Barnes
Software Engineer at Google DeepMind
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolMegan Barnes is a software engineer in San Francisco with 11 years of experience specializing in machine learning and natural language understanding. She has built production ML systems at DeepMind and Apple’s Siri NLU team, and earlier translated research into product features at startups like Init.ai and SRI’s Speech Technology Lab. Her background blends a linguistics BA and an MS in Computational Linguistics, enabling her to bridge language theory and practical model engineering across multimodal (text and speech) projects. Megan is comfortable across the stack—from training custom LSTM architectures and creating benchmarking datasets to maintaining high-availability backends—and has a track record of turning cutting-edge research into scalable products. An understated strength is her research-driven engineering approach: she designs evaluation metrics and data pipelines as deliberately as model components.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computational Linguistics, Master of Science - MS, Computational Linguistics at University of WashingtonBachelor of Arts (B.A.) with General Honors, Linguistics, Bachelor of Arts (B.A.) with General Honors, Linguistics at The University of Chicago
SpanishProgramming languages (1)
Github contributions (5)
deltagamma/deltagamma.github.io
Jul 2015 - Jun 2016
Contributions:318 pushes in 10 months
reactprofessional
meganbarnes/meganbarnes.github.io
Jul 2015 - Dec 2019
Contributions:64 pushes in 4 years 5 months
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