Jie Lin is a research-focused machine learning engineer with 11 years of experience applying data science and software engineering across healthcare, finance, and e-commerce. Currently a Research Data Specialist in Radiology at Weill Cornell Medicine, Jie bridges clinical research and production ML, drawing on a strong applied mathematics background from the University of Washington and a CS degree from Cornell. Past roles at Amazon and Citi include building high-availability payment services, launching ML projects to reduce operational load, and improving trading/pricing algos—demonstrating a knack for turning quantitative models into reliable systems. Comfortable across Python, shell scripting, embedded systems and technical support, Jie also has hands-on experience with entity recognition research and reproducible research tooling. Colleagues value Jie’s blend of academic rigor and pragmatic engineering, plus an inclination to mentor and automate away recurring operational pain.
11 years of coding experience
2 years of employment as a software developer
Graduate, Applied Mathematics, Graduate, Applied Mathematics at University of Washington
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Cornell University
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