Final-year Computer Science student (AI and Algos focus) at the National University of Singapore, graduating May 2026.
I build scalable software, deploy ML models, and prototype quantitative-trading tools that turn data into decisions.
- Languages : Python · Java · C#/.NET · JavaScript · C/C++ · SQL · Bash
- Frameworks / Libraries : Flask • Django • React • Node/Express • NumPy • pandas • scikit-learn • PyTorch • TensorFlow
- Tools / Platforms : Docker • Linux • Git & GitHub Actions • SonarQube • Streamlit • PostgreSQL • MongoDB • Wireshark • GNU Radio
| Project | Stack | Impact |
|---|---|---|
| AI-powered Testing Dashboard | Python · Streamlit | Cut feedback-analysis time by 90 % for SAP product teams. |
| Document-Screening Service | Flask · SAP CAP | Auto-validated 8 M+ legacy & 500 K/yr new docs at 85 %+ accuracy. |
| Quant Trading Models | Python · XGBoost · Random Forest | Drove 60 % total return in paper trading across FX & commodities. |
| Property-Price Mobile App | React Native · Flask | Achieved R² = 0.97 with ensemble ML; full-stack deployment. |
| JavaFX Appointment Manager | Java · Gradle · GitHub Actions | 60 K-line GUI app with CI/CD, MVC architecture, and Codecov gating. |
National University of Singapore — B.Comp. (Hons) Computer Science, AI and Algos Focus
GPA 4.23/5.00 · Coursework: DSA · Software Eng · OS · Networks · ML · CV · Parallel Computing
Feel free to raise issues, open pull requests, or just say hello!
🔗 LinkedIn ✉️ [email protected]