Hi there! I'm Christine Wu
Software Developer | AI Enthusiast | UC San Diego Student
Welcome to my GitHub profile! I'm passionate about leveraging technology to solve problems and bring ideas to life. From interactive web applications to AI-powered models, my projects reflect my dedication to learning and building innovative solutions.
- AI & ML Development - Experience in deep learning model optimization, image processing, and generative AI.
- Full-Stack Development - Skilled in backend and frontend development, building scalable, interactive applications.
- Data Engineering & Analysis - Proficient in database management, data preprocessing, and big data analytics.
- Problem-Solving & Optimization - Strong algorithmic thinking with experience in systems programming, optimization, and graph theory.
Skills and Expertise
Featured Projects
Interactive app designed for the UC San Diego community to simulate card collection excitement!
- Features: Simulates game card draws with single and multi-card options. Includes inventory management to keep track of collected cards, rarity categorization, and a dynamic wish history log. Optimized for a seamless user experience with responsive design.
- Tech Stack: React (TypeScript), TailwindCSS, Vite, Vercel.
- Learn more about the Wish Simulator.
- Built a dashboard with Next.js for real-time transaction insights.
- Integrated APIs for bank linking and secure fund transfers.
- Leveraged ShadCN for reusable components and Appwrite for backend services.
- Learn more about the Banking App.
A robust note-taking and organization app designed to keep you on top of your tasks!
- Features: Create, edit, and organize notes with labels, favorite system, and theme toggling. Allows editing note titles, content, and labels dynamically using content-editable fields. Provides seamless real-time updates.
- Tech Stack: React (JavaScript), CSS, Vite, React Router.
- Learn more about the Sticky Planner.
Personalized Recommender System
- Built collaborative filtering and deep learning models to predict user preferences.
- Improved MSE by 0.6 using TensorFlow and the Surprise library.
Let's Connect!
- Email: cwu20210923@gmail.com
- LinkedIn: linkedin.com/in/christine-wu-2bab27243
- GitHub: github.com/chw081
Feel free to explore my repositories and connect with me for collaborations or discussions!