Zhixiang Teoh

Software Engineer at DoorDash

Ann Arbor, Michigan, United States
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Summary

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Zhixiang Teoh is a software engineer with six years of experience building backend systems, Android features, and research-grade distributed systems for machine learning. Currently on DoorDash’s Launchpad team, he blends mobile and backend work and has interned on Chrome’s intelligence team at Google. His research at the University of Michigan accelerated a Bayesian encoder’s training by 90% through dataset caching and shuffling and explored QoS-aware multi-tiered memory systems, reflecting a practical bent for performance optimization. He’s shipped real-time geolocation and graph-backed services at startups and contributed WebXR media demos during an open-source stint showcased by Meta. Based in Ann Arbor, he pairs strong math and CS foundations with a curiosity for programming languages, databases, and open-source tooling.
code6 years of coding experience
job1 year of employment as a software developer
bookAdvanced Levels Physics Chemistry Mathematics Economics, Advanced Levels Physics Chemistry Mathematics Economics at Hwa Chong Institution
bookMaster's degree Computer Science and Engineering, Master's degree Computer Science and Engineering at University of Michigan
bookMathematics and Computer Science, Mathematics and Computer Science at National University of Singapore
languagesChinese, English
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Stackoverflow

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1reputation
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Github Skills (61)

separator10
elm10
reasonml10
duke10
abstract10
editor9
ocaml9
bayesian9
functional-programming9
lenses9
category-theory9
reason9
monads9
homotopy-type-theory8
haskell8

Programming languages (14)

JavaC++CPugTeXHTMLJupyter NotebookReason

Github contributions (5)

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zhixiangteoh/citation-grab

Aug 2020 - Mar 2024

Website using SerpAPI to generate Google Scholar citations for fast access.
Contributions:25 pushes, 2 branches, 1 comment in 3 years 8 months
serpapicitationsgoogle-scholarscholar
zhixiangteoh/tp

Sep 2020 - Nov 2020

Contributions:6 PRs, 88 pushes, 10 branches in 1 month
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