Alma Wang is a software engineer with 10 years of experience building backend systems, currently contributing to Notion after several years developing microservice infrastructure for flow trading at Two Sigma. A Dartmouth graduate with a double major in Computer Science and Economics and a minor in Applied Mathematics, she combines strong quantitative skills with practical production engineering. Her open-source contributions include enhancing the official Notion JavaScript SDK—implementing block manipulation endpoints and improving page handling—demonstrating attention to API ergonomics and real-world client needs. Comfortable in high-performance, data-driven environments, she has a track record of shipping reliable services and tooling across finance and productivity domains. Based in the New York City area, she brings a blend of academic rigor and hands-on system design to cross-disciplinary teams.
10 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Computer Science, Economics and Applied Mathematics, Bachelor’s Degree, Computer Science, Economics and Applied Mathematics at Dartmouth College
High School, High School at Plainview-Old Bethpage John F. Kennedy High School
Dartmouth Economics Exchange Program, Dartmouth Economics Exchange Program at Università Bocconi
Contributions:4 releases, 21 reviews, 13 commits in 4 months
Contributions summary:Alma contributed to the development of the Notion SDK for JavaScript by adding features and improving existing functionality. They implemented endpoints for retrieving and updating blocks, and added support for retrieving the URL of a page object. These changes involved modifications to API types, client-side logic, and API endpoint definitions, specifically focusing on the block manipulation features of the SDK. They also updated the SDK to use a newer Notion version and fixed a response type for the page creation functionality.
Contributions:2 PRs, 18 pushes, 5 branches in 5 years 6 months
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