I am currently pursuing my M.S. in Electrical and Computer Engineering (Machine Learning & Data Science Track) at UC San Diego. My main focus is Full-stack Development and Applied Machine Learning.
Nice to meet you!
- Full-Stack Development: End-to-end web application development using React, Tailwind CSS, and FastAPI with RESTful API design.
- Recommender Systems: Experience in building personalized policy recommendation and anti-recommendation engines using Collaborative Filtering and Ranking Models (NTU AI Lab).
- Machine Learning & AI Safety: Conducted research on XAI (Explainable AI) and Adversarial Attacks to enhance model robustness at a national research institute (NICT).
- Generative AI Engineering: Building LLM-powered applications with RAG, prompt engineering, and Gemini API integration.
- Quantitative Analysis: Developing predictive financial trading alphas and conducting market simulation using large-scale time-series data (WorldQuant BRAIN).
- Data Privacy & Security: Practical experience in data de-anonymization and re-identification attacks (PWS Cup 2022).