Jia Shen Tang

Dedicated Computer Science in Data Science student with a passion for learning, programming, debugging, and problem solving. Demonstrated ability to adapt to complex challenges, with hands-on experience in developing AI-driven applications and contributing to successful team projects. Looking for 3 month internship in late October in Data Science/AI/Software Development

TeaMWork Virtual Internship:

• Researched and analyzed AI technology trends to identify feasible applications for our industry, proposed project timelines, and compiled findings into a comprehensive presentation.
• Delivered presentations highlighting AI solutions, their benefits, and strategic implementation plans.

Vichack Hackathon Winner (Best Data Science Stream):

• Led a team to develop a web app that recommends food and enhances the user experience with AI-generated instructions and images.
• The app allows users to input a number of random ingredients to generate recipes, featuring a favourites system, cuisine and allergen filters, search by food name or ingredients, and both AI and non-AI random food generators. Utilized a dataset of 13,000 food items to power the application.

Nyom Nyom Food Recommendation App
Developed a web app for providing food recommendations and generating food recipes based on random ingredients along with other features.
Tools/Technologies Used: Python, Streamlit, Stable-diffusion, Google Gemini, MongoDB

• Key Contributions: Led the development of the AI recipe generator, integrated multiple filters for a personalized user experience, debugger, and integrated database to manage user information.
• Challenges: Tackled issues with dataset integration and optimized the algorithm for recommendation.
• Results: Successfully created a functional app that won the Best Data Science Stream at Vichack Hackathon.

Project Management App
Developed a web app for managing projects with a Kanban-style board, enabling users to create and manage tasks.
Tools/Technologies Used:  JavaScript, Node.js, MongoDB, HTML

• Key Contributions: Integrated the database to manage user data and tasks, ensuring seamless interaction between the backend and frontend.
  Implemented key functionalities, including creating tasks, assigning story points, tagging tasks as urgent or important, and enabling task movement across 'To Do,' 'Doing,' and 'Done' columns.
  Developed user authentication features, including user creation, sign-in, and login pages.
  Created a filter system allowing tasks to be filtered by tags, enhancing usability.
• Challenges: Faced significant challenges in implementing the drag-and-drop functionality for moving tasks between different states, which required careful consideration of both frontend and backend logic.
• Results: Successfully developed the core backend and frontend functionalities, although the app was not deployed due to time constraints. The project demonstrated strong capabilities in full-stack development and effective problem-solving.