Laurel Xiang
Computer Scientist at NYU
Summary
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RockstarLaurel Xiang is a computer scientist with five years of experience blending computer science and data science knowledge from NYU into practical software work. Based in the United States, she brings a research-informed perspective to engineering problems and a keen interest in data-driven solutions. Though her public GitHub footprint is minimal, her background suggests strong academic grounding and the ability to translate theoretical concepts into working code. Colleagues would likely describe her as methodical, curious, and comfortable crossing boundaries between data science and software engineering. She’s at a stage where focused contributions or open-source projects could quickly amplify her impact.
5 years of coding experience
Github Skills (14)
c-language10
database-driver10
mongodb-driver10
driver10
mongodb10
networking10
database9
bson9
nosql9
cpp9
mongo-cdriver8
react3
javascript1
experiences1
Programming languages (6)
Github contributions (5)
laurelxiang/portfolio-website
Jun 2022 - Aug 2022
project-fl-lx created by GitHub Classroom
Contributions:16 PRs, 71 pushes, 1 branch in 2 months
reactgithub-classroom
laurelxiang/mongo-c-driver
Jun 2024 - Jul 2024
The Official MongoDB driver for C language
Contributions:18 pushes, 5 branches in 1 month
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