Summary
Lingxin Chen is a cloud engineer and MS candidate in Computer Science at Vanderbilt with a decade of software experience building reliable, user-facing systems and research-grade ML pipelines. At Vanderbilt Cloud Innovation Lab and as a graduate research assistant she blends cloud engineering with ML/DL work—implementing PyTorch models for RNA-to-protein prediction and benchmarking large biological datasets. Previously at SIL Global she shipped 10+ C# features for a 10,000+ user desktop app, stabilized APIs, and hardened CI/CD with extensive unit testing, and as an intern led a Docker/Kubernetes/AWS migration and a QA platform used by 2,000+ users. Comfortable across full-stack, data engineering, and cloud-native tooling, she’s equally at home optimizing database migrations and designing performant editing tools co-created with UX. Based in Nashville, she brings a research-minded approach to production systems, often translating academic models into deployable, high-uptime services.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, cum laude, Computer Science, Bachelor of Science - BS, cum laude, Computer Science at Wheaton College
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Vanderbilt University