Singapore, Singapore
Computer Science & Mathematics student heading to the University of Cambridge, working at the intersection of competitive programming, machine learning, and quantitative research. • Codeforces Grandmaster (top 0.01% worldwide); Meta Hacker Cup 45th globally (2022) and 54th (2025); Google Code Jam 57th globally. • Olympiad medalist — APIO Silver, Tuymaada Informatics Gold (2nd place), and multiple Singapore Mathematical Olympiad Golds. • S.T. Yau Science Award — Top 4 in Asia for machine-learning research on neural combinatorial optimization (99.6% accuracy, outperforming prior best algorithms). • Currently building AI-agent pipelines for automated strategy backtesting and alpha research at MS Capital; previously computer-vision image compression at Huawei and financial data analytics at Temasek. Interested in quantitative research, ML engineering, and hard algorithmic problems.
- Building end-to-end AI agent pipelines for automated strategy backtesting and evaluation - Designing workflows for data ingestion, cleaning, and feature generation - Researching and evaluating alpha signals and strategies
• Designed and implemented deep-learning techniques for efficient image representation and compression. • Developed and deployed variational autoencoder (VAE) architectures for high-fidelity image compression while minimizing storage and transmission costs. • Researched and optimized custom loss functions balancing reconstruction quality, latent-space regularization, and compression efficiency.
- Extract, query, and manage financial datasets from Snowflake using optimized SQL workflows to ensure accuracy, performance, and scalability. - Design and maintain interactive Tableau dashboards to visualize key financial metrics, trends, and anomalies for business stakeholders. - Perform in-depth financial data analysis to support forecasting, performance tracking, and strategic decision-making.