Fourth-year Statistics Student at UBC | Software Engineering · Machine Learning · Full-Stack Development
- 🎓 Fourth-year Statistics student at the University of British Columbia (UBC)
- 💻 Aspiring Software Engineer (SDE) & Machine Learning Engineer (MLE) with experience in:
- Full-stack development (React, Node.js, FastAPI)
- End-to-end ML pipelines & model deployment (Python, scikit-learn, R)
- Building Chrome Extensions (MV3), REST APIs, and backend services
- 🚀 Passionate about developing scalable applications, efficient data systems, and ML-driven products
- 🔧 Strong interest in:
- Production ML systems & MLOps
- Backend engineering & API design
- Cloud infrastructure (AWS EC2/RDS, Nginx, PM2)
- Data engineering, automation & system architecture
- 🌱 Currently working on:
- An end-to-end customer churn prediction system
- A productivity platform (React + FastAPI + Chrome Extension)
- Clustering & statistical modeling projects
- 🔍 Seeking 2025 opportunities in Software Engineering, Machine Learning Engineering, or Data Engineering
- 📉 Customer Churn Prediction — end-to-end ML pipelines, feature engineering, ensemble methods
- ⏱ FocusLink Productivity Platform — React + FastAPI + Chrome Extension (MV3)
- 🧪 STAT/ML Research — clustering, PCA, bootstrap inference, design of experiments
- 📷 Crabapple Color Quantification — RA project computing biological color metrics using R & Python
- 📝 Full-Stack To-Do System — Chrome Extension + React frontend + REST API backend (Node/FastAPI), integrated with the OpenAI API for smart task prompts and automated suggestions
- 🇨🇦 International student at UBC
- ☕ Most productive in cafés
- ✍🏻 Always working on new side projects to learn new tools
⭐️ Thanks for visiting! Feel free to explore my repositories or connect with me on LinkedIn.