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Swimming
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Swimming
5 followers · 5 following
  • Singapore University of Technology and Design
  • Singapore

Achievements

Achievement: Pull SharkAchievement: Quickdraw

Achievements

Achievement: Pull SharkAchievement: Quickdraw

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  • Pro

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Jungstershark/README.md

🌟 Hey there, I'm Jung Yi 👋

I'm a Singaporean 🇸🇬 Honours student in Computer Science and Design at SUTD, with a passion for 💻 technology and 🛠️ software engineering. My background in competitive swimming has taught me adaptability and resilience, which I now apply to my tech journey.

I'm eager to learn, gain experience, and connect with others in the field.

Coding

jungyiong.com

  • 🌟 Currently diving into: Building intuitive and scalable Web Applications
  • 📚 Exploring new depths in: Machine Learning, Cloud Technologies
  • 💬 Happy to chat about: Algorithms, Data Structures, and all things tech
  • 📫 Reach out to me at: [email protected]
  • ⚡ Fun fact: I’ve mastered the art of balancing swim strokes and keystrokes! 😄

Connect with me:

jungyi_linkedin Email Telegram Profile

Languages and Tools:

java android css3 docker express figma firebase git html5 illustrator javascript linux mongodb mysql nodejs opencv postman python react tailwind

Profile Stats:

Jungstershark

 Jungstershark

Jungstershark

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    TripLodge is a high-performance hotel booking system developed as part of a project at SUTD in collaboration with Ascenda. It allows users to search, book, and manage hotel reservations seamlessly,…

    JavaScript

  2. FlexHaven FlexHaven Public

    Flexhaven is an Android prototype app developed at SUTD for students and professionals to rent high-cost items affordably. Integrates Firebase for robust data handling and image storage. Designed a…

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  3. HelloTT HelloTT Public

    Hello TT is an AI-powered chatbot developed for the Temasek X SUTD Gen AI Hackathon 2024. It assists users in resolving issues by generating step-by-step guides based on textual information and scr…

    Python

  4. ArticPy ArticPy Public

    ArticPy is a powerful, user-friendly app for simplifying NLP tasks, including data cleaning, topic modeling, sentiment analysis, and more. It can be run locally, via Docker, or accessed online.

    Python