Linyue Song
Senior Software Engineer at Asana
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolLinyue Song is a Senior Software Engineer and machine learning researcher with a UC Berkeley MS and BA in Computer Science, currently improving Asana’s web app backend while conducting ML research at Dartmouth. She brings five years of hands-on experience spanning systems, web backends, speech recognition, and adversarial ML—work that includes an ICML paper on attacking LLM and CV models in federated settings. Technically fluent across Python, Go, Java/TypeScript, React, Flask, PyTorch, and DynamoDB/MongoDB, she has built production-grade APIs and an offline speech analysis tool (Akita) that processes hours of audio in minutes. Comfortable moving between research and production, she combines rigorous academic training with pragmatic engineering to ship impactful, scalable systems.
5 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of California, BerkeleyHigh School Diploma, High School Diploma at Southside Christian School
Github Skills (7)
multi-layer7
aio6
mojo6
studio4
python4
css1
javascript1
Programming languages (2)
Github contributions (5)
LinyueSong/FMLC
Aug 2020 - Jan 2021
Framework for Multi Layer Control in Python
Contributions:41 pushes, 1 branch in 5 months
pythonframeworkmulti-layer
LinyueSong/LinyueSong.github.io
Aug 2023 - Mar 2024
Contributions:15 pushes, 3 branches in 6 months
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