Junyin Chen is a software engineer with nine years of experience building multilingual NLP systems, scalable APIs, and cloud-native monitoring solutions, currently at Intuit in Seattle. With an MS in Computational Linguistics from the University of Washington, Junyin has engineered PyTorch and Hugging Face pipelines that achieved 94% medical entity extraction accuracy and built HIPAA-compliant LLM prompt solutions for automated patient communication. They blend backend expertise in Java/Spring Boot and SQL with frontend React work to deliver resilient systems (99.96% uptime) and multilingual user interfaces that improved accessibility by up to 40%. Notably, Junyin has led cloud migrations and CI/CD adoption to cut release times by 40% and has applied linguistic QA and ML-driven text analysis to reduce manual annotation and reporting workloads substantially.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computational Linguistic, Master of Science - MS, Computational Linguistic at University of Washington
Contributions:1 review, 18 PRs, 30 pushes in 10 days
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