Ryan Glenn is a software engineer in San Francisco with 8 years of experience building ML-driven data analysis platforms and NLP tooling. He currently develops automation and NLP model training/deployment pipelines at Sutherland Labs and previously implemented production-ready classification systems for Cisco using TF-IDF and logistic regression. Comfortable across Python data stacks and web technologies, he pairs hands-on model work with internal analytics apps to close the loop between research and product. He also has experience in data analysis with SQLite and teaching ML concepts at UC Santa Cruz, reflecting both practical delivery and an ability to communicate complex ideas. Notably, he focuses on improving model lifecycles—training, evaluation with stratified CV and upsampling, and continuous content updates for chatbots—rather than only prototyping models.
Contributions:6 PRs, 13 pushes, 7 branches in 19 days
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