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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,68 @@ | ||
| const current = { | ||
| organizations: [ | ||
| { | ||
| name: "GIST Student Association Infoteam", | ||
| isImportant: true, | ||
| color: "#EB6263", | ||
| url: "https://introduce.gistory.me/", | ||
| job: "Team Leader", | ||
| startedAt: "2022-09", | ||
| projects: [ | ||
| { | ||
| name: "AMS Frontend", | ||
| isImportant: false, | ||
| startedAt: "2022-11", | ||
| endedAt: "2023-02", | ||
| description: | ||
| "Developed the frontend for AMS, GIST's club application system. Implemented a drag-and-drop based UI to enhance the convenience of managing interview schedules, and introduced a mono-repo to reduce the rewriting of similar code.", | ||
| whatIDid: ["Frontend Development", "UI Design"], | ||
| techStacks: ["React", "TypeScript", "mono-repo"], | ||
| }, | ||
| { | ||
| name: "Ziggle Frontend", | ||
| isImportant: true, | ||
| url: "https://github.com/gsainfoteam/ziggle-fe", | ||
| startedAt: "2023-04", | ||
| description: | ||
| "Developing the frontend for Ziggle, GIST's integrated notice platform. Initially developed the version using React and then migrated to Next.js, actively adopting various technologies like GraphQL and Apollo Client. Successfully established within the school, maintaining 200 DAUs, which is 25% of the undergraduate population.", | ||
| whatIDid: ["Team Leader and Frontend Development"], | ||
| techStacks: ["React", "TypeScript", "Next.js", "Tailwind CSS"], | ||
| }, | ||
| { | ||
| name: "IdP Frontend", | ||
| isImportant: true, | ||
| url: "https://idp.gistory.me", | ||
| startedAt: "2024-03", | ||
| description: | ||
| "Maintaining the frontend for IdP, GIST's OAuth2.0 authentication system.", | ||
| whatIDid: ["Frontend Maintenance"], | ||
| techStacks: ["React", "TypeScript", "Tailwind CSS"], | ||
| }, | ||
| ], | ||
| }, | ||
| { | ||
| name: "Wing: GIST Computing Club", | ||
| isImportant: false, | ||
| color: "rgb(151, 123, 242)", | ||
| url: "https://wing-homepage.vercel.app/", | ||
| job: "Senior Member", | ||
| startedAt: "2023-03", | ||
| projects: [ | ||
| { | ||
| name: "Wing Session", | ||
| isImportant: true, | ||
| startedAt: "2023-03", | ||
| description: | ||
| "Conducting development exchange and sessions within Wing.", | ||
| whatIDid: [ | ||
| "Conducted a session on introducing mono-repo", | ||
| "Conducted a session on React.cpp", | ||
| "Conducted a session on writing code like a UI library: Compound Components", | ||
| ], | ||
| }, | ||
| ], | ||
| }, | ||
| ], | ||
| }; | ||
|
|
||
| export default current; |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,212 @@ | ||
| const experience = { | ||
| experiences: [ | ||
| { | ||
| name: "GIST Data Science Lab", | ||
| isImportant: true, | ||
| color: "#b509ac", | ||
| url: "https://sundong.kim/members/", | ||
| job: "Intern", | ||
| startedAt: "2024-01-02", | ||
| endedAt: "2024-05-31", | ||
| projects: [ | ||
| { | ||
| name: "O2ARC 3.0", | ||
| isImportant: true, | ||
| url: "https://o2arc.com/", | ||
| startedAt: "2024-01", | ||
| endedAt: "2024-05", | ||
| description: | ||
| "Developed O2ARC 3.0, a tool for collecting human solution data for the Abstract and Reasoning Corpus ([ARC](https://github.com/fchollet/ARC)), a benchmark for evaluating AI reasoning abilities. The data collected by the existing tool was not suitable for training, so I restricted user actions to collect over 10,000 data points in a format favorable for AI training. Co-authored a paper published at IJCAI 2024 as a co-first author.", | ||
| whatIDid: [ | ||
| "Developed the overall frontend UI and grid manipulation logic", | ||
| "Developed backend APIs related to events", | ||
| "Designed UX and collected user data to improve data quality", | ||
| ], | ||
| techStacks: [ | ||
| "React", | ||
| "TypeScript", | ||
| "Tailwind CSS", | ||
| "i18next", | ||
| "NestJS", | ||
| "Prisma", | ||
| ], | ||
| }, | ||
| { | ||
| name: "Introductory RL Study", | ||
| isImportant: false, | ||
| url: "https://www.coursera.org/specializations/reinforcement-learning", | ||
| startedAt: "2024-01", | ||
| endedAt: "2024-02", | ||
| description: | ||
| "Studied the basics of reinforcement learning through Coursera's Reinforcement Learning Specialization.", | ||
| whatIDid: ["Studied basics of reinforcement learning (~Q-Learning)"], | ||
| }, | ||
| ], | ||
| }, | ||
| { | ||
| name: "Sigor Inc.", | ||
| isImportant: true, | ||
| color: "#FEAA17", | ||
| url: "https://introduce.sigor.company/", | ||
| job: "Web Developer", | ||
| startedAt: "2022-02-23", | ||
| endedAt: "2023-12-22", | ||
| projects: [ | ||
| { | ||
| name: "Doggly Frontend", | ||
| isImportant: true, | ||
| url: "https://doggly.co.kr/", | ||
| startedAt: "2022-08", | ||
| endedAt: "2023-03", | ||
| description: | ||
| "Developed the frontend for Doggly, an e-commerce that measures dog sizes and recommends fitting clothes based on AI. I developed all the key features of the shopping mall, including the payment module, seller pages, admin pages, and also developed PWA and webview Android/iOS apps. Additionally, I performed logging and A/B testing to improve the user funnel.", | ||
| whatIDid: [ | ||
| "Developed and maintained the overall frontend of the shopping mall", | ||
| "Developed Android & iOS webview apps and integrated payment modules", | ||
| "Conducted A/B testing to improve the user funnel", | ||
| ], | ||
| techStacks: [ | ||
| "React", | ||
| "TypeScript", | ||
| "Jetpack Compose", | ||
| "SwiftUI", | ||
| "i18next", | ||
| "PWA", | ||
| ], | ||
| }, | ||
| { | ||
| name: "Rush Hour Frontend", | ||
| isImportant: true, | ||
| url: "https://introduce.rushhourkorea.com/", | ||
| startedAt: "2023-05", | ||
| endedAt: "2023-07", | ||
| description: | ||
| "Developed the frontend and webview app for Rush Hour, a service that informs about available subway seats. I focused on providing a user experience indistinguishable from native apps, despite it being a webview.", | ||
| whatIDid: [ | ||
| "Developed Rush Hour webview frontend", | ||
| "Developed Rush Hour Android & iOS webview apps", | ||
| ], | ||
| techStacks: ["React", "TypeScript", "Jetpack Compose", "SwiftUI"], | ||
| }, | ||
| { | ||
| name: "Rush Hour App", | ||
| isImportant: true, | ||
| url: "https://introduce.rushhourkorea.com/", | ||
| startedAt: "2023-07", | ||
| endedAt: "2023-10", | ||
| description: | ||
| "Participated in the development of the Flutter version of Rush Hour. Collected user logs through GA, Amplitude, Smartlook, and an in-house logging system, and developed an in-house log analysis tool capable of calculating retention and funnel metrics.", | ||
| whatIDid: [ | ||
| "Developed Rush Hour Flutter app", | ||
| "Recorded app user logs", | ||
| ], | ||
| techStacks: ["Flutter", "Firebase"], | ||
| }, | ||
| { | ||
| name: "Rush Hour AI", | ||
| isImportant: true, | ||
| startedAt: "2023-09", | ||
| endedAt: "2023-12", | ||
| description: | ||
| "Developed an AI that predicts real-time subway congestion based on congestion data using machine learning.", | ||
| whatIDid: [ | ||
| "Developed AI for predicting subway congestion and available seats", | ||
| ], | ||
| techStacks: ["Scikit-learn", "Pandas"], | ||
| }, | ||
| { | ||
| name: "Various", | ||
| isImportant: true, | ||
| startedAt: "2022-02", | ||
| endedAt: "2023-12", | ||
| description: | ||
| "Performed various development tasks as a developer in a startup.", | ||
| whatIDid: [ | ||
| "Developed landing pages and admin pages", | ||
| "Analyzed and conducted statistics on user logs", | ||
| "Automated tasks", | ||
| "Integrated mono-repo to improve productivity", | ||
| ], | ||
| techStacks: [ | ||
| "React", | ||
| "TypeScript", | ||
| "Amplitude", | ||
| "AWS Lightsail", | ||
| "AWS Lambda", | ||
| "FastAPI", | ||
| "Pandas", | ||
| "mono-repo", | ||
| ], | ||
| }, | ||
| ], | ||
| }, | ||
| { | ||
| name: "GDSC-GIST", | ||
| isImportant: false, | ||
| color: "#008cff", | ||
| url: "https://gdsc.community.dev/gwangju-institute-of-science-and-technology/", | ||
| job: "2nd Core, Tech Team", | ||
| startedAt: "2022-05", | ||
| endedAt: "2023-07", | ||
| projects: [ | ||
| { | ||
| name: "Study Sessions", | ||
| isImportant: false, | ||
| startedAt: "2022-11", | ||
| endedAt: "2023-05", | ||
| description: | ||
| "Led the frontend study sessions within GDSC. I created and conducted the overall curriculum. Additionally, I participated in the JS Pattern study, learning design patterns and applying them to a side project that involved creating a C++ based React.", | ||
| whatIDid: [ | ||
| "Led React study sessions", | ||
| "Participated in JS Pattern study", | ||
| ], | ||
| }, | ||
| { | ||
| name: "GIST Mini Solution Challenge", | ||
| isImportant: false, | ||
| url: "https://gdsc.community.dev/events/details/developer-student-clubs-gwangju-institute-of-science-and-technology-presents-gist-mini-solution-challenge/", | ||
| startedAt: "2023-04", | ||
| endedAt: "2023-04", | ||
| description: | ||
| "A hackathon hosted by GDSC-GIST within GIST, with a total of 60 participants.", | ||
| whatIDid: ["Prepared and managed the hackathon"], | ||
| }, | ||
| ], | ||
| }, | ||
| { | ||
| name: "GPERI", | ||
| isImportant: false, | ||
| color: "#4c568f", | ||
| url: "https://sites.google.com/view/gperigist", | ||
| job: "Research Member", | ||
| startedAt: "2023-07", | ||
| endedAt: "2024-03", | ||
| projects: [ | ||
| { | ||
| name: "C Language Education", | ||
| isImportant: false, | ||
| startedAt: "2023-07", | ||
| endedAt: "2023-08", | ||
| description: "Provided C language education to club members.", | ||
| whatIDid: ["Conducted C language education"], | ||
| techStacks: ["C"], | ||
| }, | ||
| { | ||
| name: "Rocket Communication Development", | ||
| isImportant: false, | ||
| startedAt: "2023-07", | ||
| endedAt: "2023-11", | ||
| description: | ||
| "Attempted to develop communication systems for rockets but did not succeed.", | ||
| whatIDid: [ | ||
| "Developed flight software", | ||
| "Developed communication system", | ||
| ], | ||
| techStacks: ["C", "Zigbee"], | ||
| }, | ||
| ], | ||
| }, | ||
| ], | ||
| }; | ||
|
|
||
| export default experience; |
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