Swee Lim is a serial founder and AI-focused engineer with a decade of experience building products at the intersection of machine learning, privacy, and user-facing software. Currently co-founding Booplet, Pebblely, and Dashibase, he blends hands-on front-end craftsmanship (notably contributing Vue 3 UI work on the open-source lotion/Notion UI) with research-grade AI expertise from an MS at Stanford. His background spans privacy engineering at Google, award-winning chatbot work in Stanford’s Alexa Prize team, and applied research in protein design and cybersecurity. Comfortable moving between prototype research and production systems, he’s particularly interested in real-world societal impacts of AI and publishes projects like his MSc. portfolio "Machines Gone Wrong."
10 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE Engineering Science, Bachelor of Engineering - BE Engineering Science at National University of Singapore
Master of Science - MS Urban Science Policy and Planning, Master of Science - MS Urban Science Policy and Planning at Singapore University of Technology and Design (SUTD)
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
Contributions:5 releases, 35 reviews, 130 commits in 2 months
Contributions summary:Swee primarily contributed to the front-end development of the "lotion" project, a Notion UI built with Vue 3. Their work included refactoring blocks, improving component interactions, and implementing markdown support. Key changes involved modifying and refining components like `Block.vue`, `BlockMenu.vue`, and `Editor.vue` to enhance user experience. Furthermore, the user implemented several bug fixes.
Contributions:66 commits, 56 pushes, 1 branch in 1 month
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