Ewen Dai is a software engineer at Google with eight years of experience bridging data science, machine learning, and backend engineering. He holds a Statistics M.A. and dual B.A.s in Data Science and Statistics from UC Berkeley, where he also honed teaching and project leadership as a lead GSI and data consulting advisor. Ewen contributed to InfluxData’s Flux language—porting Go string and regex functions—to enhance a widely used time-series query tool, reflecting practical systems-level skills in Go. His background blends production software delivery with hands-on ML work (including BERT-based models at LiveRamp) and a track record of organizing large student teams for applied analytics projects. Based in Fremont, CA, he pairs rigorous statistical training with pragmatic engineering instincts and a knack for translating research-grade methods into deployable solutions.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Arts, Data Science & Statistics, Bachelor of Arts, Data Science & Statistics at University of California, Berkeley
Flux is a lightweight scripting language for querying databases (like InfluxDB) and working with data. It's part of InfluxDB 1.7 and 2.0, but can be run independently of those.
Role in this project:
Back-end Developer
Contributions:42 commits, 47 PRs, 201 pushes in 2 months
Contributions summary:Ewen focused on implementing and integrating several string manipulation functions from the Go string library into the Flux scripting language. This involved porting functions, such as `title`, `toUpper`, `toLower`, and others, to enhance Flux's data processing capabilities. Furthermore, the user added functionality to incorporate regular expression compilation and string length/substring methods, and later fixed identified implementation issues with existing functions. This work significantly increased the utility of the Flux language for data manipulation.
Contributions:30 pushes, 1 branch, 2 issues in 2 years 2 months
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