Justine De Caires
Software Engineer at Notion
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJustine De Caires is a software engineer with 11 years of experience building high-performance web platforms and developer experience tools from San Francisco. Currently on Notion’s Developer Experience team, she previously led the Home Timeline Performance team at Twitter, driving cross-functional technical strategy and cutting Tweet loading latency by double-digit percentages. She combines deep front-end expertise—shipping PWAs, server-side React rendering, and accessibility features—with a knack for developer tooling and infrastructure that saved engineers hundreds of hours monthly. An active open-source contributor, she maintained and improved Twemoji UI and build processes for the widely used Twitter emoji library. Her background spans product-facing features and low-level algorithmic work (including an NP-complete scheduling solver), reflecting a rare mix of pragmatic product instincts and strong engineering fundamentals.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BSc) Computer Science & Biochemistry, Bachelor of Science (BSc) Computer Science & Biochemistry at Minerva University
French, English, Spanish
Stackoverflow
31reputation
13kreached
1answer
0questions
Github Skills (9)
javascript10
emoji10
html9
css8
build-automation8
git6
material-ui6
dialog6
react6
Programming languages (7)
Github contributions (5)
twitter/twemoji
May 2020 - Mar 2022
Emoji for everyone. https://twemoji.twitter.com/
Role in this project:
Front-end Developer
Front-end DeveloperContributions:8 releases, 15 reviews, 53 commits in 1 year 11 months
Contributions summary:Justine primarily contributed to improving the user interface and functionality of the Twemoji project. Their work involved fixing issues related to image previews, updating links, and ensuring the correct display of emoji. They also made adjustments to the project's build scripts and deployment processes. Furthermore, the user refactored code, removing specific version numbers in multiple places and updating dependencies, optimizing for better performance.
emojiemoticonstwemojitwitterunicode
jdecked/twemoji-parser
Jan 2023 - Apr 2024
A simple library for identifying emoji entities within a string in order to render them as Twemoji.
Contributions:4 releases, 4 reviews, 5 PRs in 1 year 2 months
renderemojistringtwemojiin-order
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