🎓 Junior at UC San Diego, studying Computer Science
- What We Did: Used Swift in Xcode to create a mobile app that takes the user’s professional experience and skills and produces a resume.
- Tools: Swift, Xcode
- Result: Implemented user login and navigation to different pages with tips for resume building and interviews, a user profile, and a form to input user experience (e.g., work history, educational background, certifications).
- Curious? See the full project here.
- Languages: Python, Java, C++, HTML, JavaScript, CSS, Swift, MATLAB
- Data Science: Pandas, NumPy, scikit-learn, TensorFlow, Google Data Studio
- Audio Processing: Spleeter, Librosa
- Tools & Platforms: Jupyter Notebooks, Google Colab, Xcode, Git, GitHub
- Databases: SQL, MySQL
📌 Polaris Art - here
- Description: Implemented an art-sharing website using HTML, JavaScript, and CSS, where users can generate a prompt and scroll through an art gallery that highlights the artist’s name and social media platforms.
- Tech Stack: HTML, CSS, JavaScript
📌 Column-Drift-Ratio-Prediction - here
- Description: Designed a response prediction model for Column Drift Ratio using LASSO regression and Generalized Additive Models in R, enhancing earthquake impact prediction accuracy by bypassing Intensity Measure calculations
- Tech Stack: R
📌 The Root Remedy - here.
- Description: Developed a dummy dataset to train a chatbox that provides customers with personalized nutrition tips, information about gut health, and interactive chat assistance for an iOS application.
- Tech Stack: AWS, Python, Jupyter, BERT, PyTorch, eCornell
- Email: chungkaley@gmail.com
- LinkedIn: linkedin.com/in/kaleychung
I like to eat ice cream with a fork.
Coming soon!