Jet Kan is an AI Engineer based in Singapore with eight years of software engineering experience, currently applying AI at Huawei Singapore after serving as an AI Scientist at Resaro.ai. A NUS Computer Science graduate and ASEAN Undergraduate Scholarship recipient, he designed and improved a gamified learning platform used by 500+ CS freshmen and collaborated directly with faculty to shape product direction. His open-source contributions include full-stack frontend work for the widely used Source Academy, where he implemented game mechanics, local storage collectible systems, story loading, and architecture refactors that improved the educational experience. With two years of tutoring experience and a background spanning both research-adjacent AI roles and hands-on product engineering, he bridges rigorous technical depth with practical, student-centered design.
7 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at National University of Singapore
Frontend of Source Academy, an online experiential environment for computational thinking (React, Redux, Saga, Blueprint)
Role in this project:
Full-stack Developer
Contributions:109 commits, 40 PRs, 306 pushes in 1 year 6 months
Contributions summary:Jet implemented features primarily focused on the frontend of the Source Academy project. Their contributions included the implementation of functionality using local storage for collectible and quest management within the game component. The user also worked on integrating redirect links to navigate between different components of the Source Academy, alongside fixing external links. Furthermore, the user updated the project by implementing a story loader, and refactoring the goal system.
Contributions:12 PRs, 114 pushes, 6 branches in 12 days
nlp
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