Jessica Fan
Software Engineer at Gusto
California, United States
Summary
👤
Senior🎓
Top SchoolJessica Fan is a software engineer based in California with a BS in Statistics and Machine Learning from Carnegie Mellon and eight years of hands-on experience spanning security research, NLP, and full-stack product development. Currently at Gusto, she builds user-facing verification flows and fraud-detection features using React, TypeScript, Ruby on Rails, and GraphQL, having previously automated onboarding work that saved hundreds of RiskOps hours. Her background includes security research at CMU’s Cylab and applied NLP for legal-text analysis, where she presented findings to the Law Revision Counsel—demonstrating an uncommon blend of privacy-aware engineering and policy-facing research. Jessica is passionate about data-driven solutions that increase equity and efficiency, and she brings a practical curiosity (and a sideline in photography) to cross-functional collaboration and tooling improvements.
8 years of coding experience
2 years of employment as a software developer
U.S. Senate Page SchoolBachelor of Science - BS, Statistics and Machine Learning & CS, Bachelor of Science - BS, Statistics and Machine Learning & CS at Carnegie Mellon University
French, Chinese, Chinese
Github Skills (68)
style-transfer10
nlp10
discord10
discord-bot10
discord-py10
browser9
transfer-learning9
transformer9
python9
deep-learning9
pytorch9
machine-learning9
bert9
webml9
speech-recognition9
Programming languages (10)
Github contributions (5)
JEF1056/JadeAI
Aug 2018 - Aug 2019
Contributions:47 commits, 40 pushes, 1 branch in 1 year
JEF1056/sum-everything
Jan 2022 - Mar 2022
Repository for Summarize Everything
Contributions:9 reviews, 127 commits, 24 PRs in 2 months
nlpeverythingsummarize
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