About Me
I'm currently pursuing a Bachelor of Science (Honours) in Business Analytics with a Second Major in Quantitative Finance at the National University of Singapore. As a CSC Asia Campus Scholar, I combine technical expertise with business acumen to solve complex problems in finance and technology.
My journey spans quantitative research, machine learning, data science, and full-stack development. I've developed machine learning trading strategies at PhillipCapital, optimised logistics operations at Shopee, and built blockchain solutions that won top prizes at hackathons. I'm passionate about applying advanced analytics and algorithms to real-world challenges.
Beyond academics and work, I serve as Director of NUS Fintech Society Quant Department, champion hackathons, and enjoy singing-songwriting, guitar, floorball, and bouldering. I also love lateral-thinking puzzles or just anything that requires creative problem solving!
Quick Facts
- ▹Business Analytics & Quantitative Finance at NUS Computing
- ▹CSC Asia Campus Scholar
- ▹Director at NUS Fintech Society (2026)
- ▹Champion at Ripple x NUS Fintech Summit Hackathon 2024
- ▹Experience in quant research, ML, data science & full-stack dev
- ▹Contributed to open-source projects
- ▹Released an original song on Spotify (‘Everlasting Arms’)
Experience
Quantitative Researcher Intern
Franklin Templeton
- •multi-asset
Quantitative Researcher Intern
PhillipCapital
- •Built time-series machine learning models (LSTM-hybrids) using tick-level limit order book data, and embedded market microstructure signals via feature engineering and multi-head attention under Proprietary Trading Department
- •Optimised models with gradient boosting, custom loss functions, and cross-validated hyperparameter tuning
- •Developed trading algorithms with 46% higher out-of-sample Sharpe and 10.2% less max drawdown vs buy-hold (after transaction costs), and accelerated pipelines via vectorised operations and multiprocessing for parallelisation
Data Science and Optimisation Intern
Shopee
- •Developed 20+ live dashboards and scripted 20+ automatic workflows for quantitative analysis of multi-country logistics and supply chain operations, using Python, Presto SQL, Spark, Flink, Hive and distributed database Hadoop
- •Formulated and solved mixed-integer optimisation models in Gurobi with mathematically encoded constraints, to optimise route-specific truck departure schedules for maximum efficiency, while coordinating with stakeholders
- •Led the building, system testing and deployment of chatbot with Flask (Python) backend, REST API and data mining functionality, for local operations to ensure compliant delivery trips, and saved 6 weeks of development time
Quantitative Research Consultant
WorldQuant
- •Clinched 1st Place for 2024 WorldQuant x NUS Fintech Society Algorithmic Trading Machine Search Competition
- •Emerged as Top 8 for WorldQuant BRAIN x NUS Alphathon 2023
- •Designed and backtested 50+ market-neutral trading algorithms with high Sharpe ratio (min. 2 for intraday and 1.25 for next-day alphas) over a period of 3 weeks
Robotic Process Automation Developer
Monetary Authority of Singapore
- •Programmed with BluePrism and Microsoft VBA to automate internal procedures such as HR processes and maintenance of training resources
- •Successfully saved the organisation 100+ hours per year through automation
- •Collaborated with business users in cross-functional teams to analyse needs, perform troubleshooting, and provide training
Featured Projects
<<llm multi-agent debugging system>>
Final Year Research Project under Prof. Qiao Dandan at NUS School of Computing
- ▹Multi-agent LLM framework for repo-level software issue resolution with planning, shared memory, and LoRA-adapted Qwen3 on multi-GPU infra
- ▹RAG pipeline for SWE-bench tasks with BM25 candidate ranking (80.6% coverage at top-20, 78.8% recall), relevance scoring, and auto-evaluation workflows, significantly improving downstream agent context quality and patch generation reliability
- ▹Finetuning & prompting improved resolved ratio by 55.6%
BAR-E Rental Platform
Awarded Top Prize of 5,000 SGD at Ripple x NUS Fintech Summit Hackathon 2024. Blockchain solution for end-to-end rental management.
- ▹Engineered XRPL blockchain solution leveraging Ethereum Virtual Machine sidechain
- ▹Facilitated rentals using smart contracts and tokenisation of listings as NFTs
- ▹Deployed live site on Render with React.js frontend and Solidity smart contracts
NuNme Facilities Booking System
Full-stack facilities booking website with real-time chat and dashboard analytics for university facilities management.
- ▹Developed complete booking system with chat functionality
- ▹Built analytics dashboard for facility usage insights
- ▹Deployed on Render with Django backend and Firebase database
IoT Smart Parking System
Research project at NTU developing an intelligent parking system using computer vision for real-time parking lot detection.
- ▹Implemented Canny Edge Detection method to detect parking lot edges
- ▹Applied Douglas-Peucker Algorithm for parking lot representation
- ▹Integrated Google Cloud Firebase for real-time data push to Android applications
Tech Stack
Languages
Frameworks
Tools & Platforms
AI/ML
Feel free to reach out for a chat!
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.
Get In Touch