Jerome Liao

Experienced with academic research, group projects, and time management. Utilizes research skills to gather and analyze data effectively, contributing to informed decision-making. Knowledge of collaboration techniques ensures successful teamwork and project completion.

Offering strong foundation in programming and passion for artificial intelligence, eager to learn and grow in dynamic environment. Brings academic experience in machine learning and proficiency in Python and TensorFlow. Ready to use and develop problem-solving and analytical skills.

Production Team member @ Planetshakers

• Contributing to the production team for Lights
• Collaborating with Staff members and volunteers to achieve a common goal and delivering the best results
• Ensuring quality in all aspects of production

Production Team Member @ SIBKL 

• Production team lead for a church event
• Teaching and guiding new members
• Ensuring quality in all aspects of production

Weather Prediction & Analysis Web App

As part of my AI studies, I developed a full-stack web application that predicts and visualizes weather trends using machine learning. The app features rain prediction with probability scores, temperature trend analysis, and dynamic visualizations of historical and predicted data. Built with React.js, FastAPI, and Plotly/Chart.js, the project emphasizes user-focused design and clear data presentation. While the app uses static data for demonstration, it simulates real-world predictive capabilities.

Key Highlights:

• AI-driven rain and temperature prediction
• Interactive visualizations (daily/hourly trends)
• City-based weather insights
• Frontend-backend integration and data handling

Tech Stack: React.js • FastAPI • Chart.js • React-Plotly.js • Custom ML Models

This project strengthened my skills in full-stack development, data visualization, and integrating AI into practical applications.