Yan Jiang is a software engineer with 10 years of experience building data-driven systems and scalable pipelines across Meta, Apple, and Capital One, blending strong data-mining/statistics expertise with production-grade engineering. Trained in environmental engineering and data mining (Purdue), she applies statistical rigor—bootstrapping, PCA, Monte Carlo—to large-scale problems and has built ETL and automation tools for national-scale datasets. At Meta she contributes to core developer tooling and has made notable open-source fixes to Facebook's Relay compiler, improving transformations and watch-mode stability. Her background in ecosystem modeling and published forecasting work gives her an unusual strength in turning noisy, spatial-temporal science data into reliable software products. Based in San Jose, she pairs big-data tech (Spark, Hadoop, AWS, Elasticsearch) with practical ML feature-selection experience, bridging research and production.
10 years of coding experience
10 years of employment as a software developer
Master of Science, Data Mining Focus in Agricultural and Biological Engineering, Master of Science, Data Mining Focus in Agricultural and Biological Engineering at Purdue University
Bachelor's degree, Environmental Engineering, Bachelor's degree, Environmental Engineering at Zhejiang University
Relay is a JavaScript framework for building data-driven React applications.
Role in this project:
Full-stack Developer
Contributions:23 commits, 21 PRs, 3 comments in 8 months
Contributions summary:Yan primarily contributed to the `relay-compiler` package within the `facebook/relay` repository, focusing on improvements and refactoring. They fixed a watch-mode issue in `RelayCompiler` and added/renamed modules related to transformations, particularly around client fields and redundant nodes. Additionally, the user integrated the `graphql-compiler` package, and addressed flowtype check failures, demonstrating a strong focus on improving the codebase.
Contributions:1 PR, 22 pushes, 1 branch in 13 days
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