• I'm a Computer Science student at Ton Duc Thang University
• Focused on ML, NLP, CV, and building impactful software
• Chemistry Olympiad background turned AI/ML researcher

A cloud-native platform for monitoring and forecasting air quality using real-time satellite and ground-based environmental data. The project integrates TEMPO satellite measurements, EPA AirNow ground stations, and NOAA weather forecasts to predict AQI (Air Quality Index) over the next seven days.

My role:

• Trained machine learning & deep learning models (ARIMA, LSTM) using data from WHO, TEMPO, AQ datasets.
• Built predictive pipelines for 7-day AQI forecasting with uncertainty quantification.
• Contributed to frontend visualization with React for interactive AQI chart.

Features:

• Real-time data ingestion (TEMPO, NOAA, ground stations)
• Machine learning & deep learning forecasting
• AQI alert system with WHO/EPA thresholds
• Scalable cloud deployment (Kubernetes / Serverless)
• Interactive map visualization for temporal-spatial air quality tracking

🔗 GitHub Repo

A modern note management web app built with ReactJS and SlimPHP.
Features:

• Create, update, delete notes
• Share notes via links
• Lock notes with passwords for privacy

🔗 GitHub Repo

Under code refactoring

A real-time stock price platform combining AI and community blogging, built with WebSockets, TailwindCSS, and LSTM/PhoBERT models.
Features:

• Live stock market streaming
• Predict future trends using deep learning
• NLP-based sentiment analysis from financial news
• A blogging community where users can publish investment analysis and predictions

🔗 GitHub Repo