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Wanlin Z. is a seasoned data analyst and data scientist currently employed at Autodesk since August 2020, specializing in AI, NLP, and LLM. Previous experience includes a role as a Machine Learning Engineer at a stealth startup where simulation, Docker, and Kubernetes were key focuses. At Sutter Health, from June 2017 to July 2019, Wanlin developed ETL pipelines for analyzing large TB datasets and trained statistical and machine learning models while conducting genome-wide association studies. Additional positions include statistician at the University of California, San Francisco, and as a graduate student instructor at the University of Michigan, where insightful statistics courses were led. Educational credentials comprise a Master’s degree in Bio-Statistics from the University of Michigan and a Master’s degree in Computer Science from the Georgia Institute of Technology, augmenting a solid foundation in statistics from North Carolina State University with a Bachelor's degree and a minor in Mathematics. Ongoing professional development is further demonstrated through participation in Stanford Continuing Studies since January 2023.