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
- ▹Released an original song on Spotify (‘Everlasting Arms’)
Experience
Quantitative Researcher Intern
Franklin Templeton
- •multi-asset
Quantitative Researcher Intern
PhillipCapital
- •Developed machine learning strategies (LSTM & XGBoost) with attention mechanisms, feature engineering and custom loss functions under Proprietary Trading Department
- •Achieved trading algorithms with 46% higher Sharpe ratio and 10.2% less drawdown (after fees) compared to Buy-Hold strategy
- •Implemented vector operations and parallelisation with multiprocessing to reduce compute time
Data Science and Optimisation Intern
Shopee
- •Developed 20+ live dashboards and scripted 20+ automatic workflows for quantitative analysis of logistics and supply chain operations across 5 Southeast Asian countries
- •Implemented mixed-integer programming with Gurobi Optimizer to optimise truck departure times for delivery routes
- •Led the building and development of chatbot with Flask backend, REST API and data mining functionality, cutting down development time by 6 weeks
- •Used Presto, SQL, Python, Apache Spark, Apache Flink, Hive and distributed database Hadoop for data analytics
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
- •Backtested and submitted 50+ market-neutral trading algorithms with high Sharpe ratio (>2 for same-day and >1.25 for next-day alphas)
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 system>>
Final Year Research Project under Prof. Qiao Dandan at NUS School of Computing
- ▹LLM Finetuning with LORA Adaptors
- ▹Multi-Agent System
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