National University of Singapore
School of Computing
BSc. in Business Analytics (Financial Analytics Specialisation in-progress)
Relevant Coursework
Aug 23 - Present
Singapore
Korea University
International Winter Campus
Participated in Korea University's Winter Campus academic and cultural immersion programme. Gained a strong foundation in core accounting principles and applied them to real-world business scenarios, demonstrating the ability to classify transactions and determine appropriate accounting treatments.
Relevant Coursework
Dec 24 - Jan 25
South Korea
PSL University (Paris)
Venture Creation (Entrepreneurship & Business)
Participated in an intensive venture creation program focused on starting a business and entrepreneurship. Co-created an AI wardrobe styling app and collaborated with a diverse team to validate the business model.
Jul 24 - Dec 24
Paris, France
Temasek Polytechnic
School of Business
Accountancy and Finance (Finance specialisation)
Relevant Coursework
Apr 18 - Apr 21
Singapore
Compagnie Financière Tradition Singapore (Returning in Jul 2026)
Quantitative Developer Intern
Quantitative Analytics (Financial Derivatives and Products)
Dec 23,
May 24,
May 25 - Present
Singapore
Skezi
Data Science Intern
Jul 25 - Dec 25
France, Paris
Self-Reflective RL Medical Data Extraction Challenge: Extract structured JSON from unstructured medical records with high accuracy while minimizing API costs. Solution: Architected a reinforcement learning framework with self-reflection mechanism and dual-gate validation. Implemented two-tier semantic caching using FAISS vector store and asyncio for 4.7x throughput optimization. Impact: Achieved 80% API cost reduction, 4.7x speedup in processing pipeline (6.09s → 0.86s), and superior extraction accuracy through iterative refinement against ground truth schemas.
Links: Technical Article
IBKR Algorithmic Trading Bot Challenge: Build a production-ready algorithmic trading system with low-latency order execution and real-time risk management. Solution: Engineered automated trading system integrated with Interactive Brokers API, featuring real-time market data processing, order management system (OMS), and risk controls. Implemented multi-strategy backtesting framework with walk-forward optimization. Impact: Achieved sub-100ms order latency, processed 10,000+ market data events per second, and backtested across 5+ years of historical data with realistic slippage modeling.
Links: GitHub
Smoodee - Sustainable Food Tech Startup Challenge: Reduce food waste by transforming blemished produce into value-added products while optimizing supply chain logistics. Solution: Co-founded sustainability startup focused on circular economy principles. Developed supply chain optimization model, business analytics dashboard, and partnered with local farms and food banks. Built full-stack web platform for customer orders and inventory management. Impact: Secured $25,000 in seed funding, diverted 2+ tons of produce from waste, served 500+ customers, and demonstrated measurable environmental and social impact. Featured in NUS entrepreneurship showcase.
Links: Website
Enterprise Analytics: Big Data Pipeline Challenge: Design and deploy a scalable big data analytics pipeline for enterprise-level data processing, addressing challenges in real-time data ingestion and analysis. Solution: Architected distributed data processing system using Apache Spark for parallel computation. Implemented ETL pipelines with PySpark and pandas for data transformation, integrated Tableau for interactive visualizations, and MySQL for data warehousing. Impact: Processed 10M+ records with <2s latency, achieved 95% accuracy in predictive modeling, and 73% reduction in data processing time. Academic excellence: Full project report available showcasing comprehensive analysis methodology.
Links: Full Report PDF
FairTracker: Event Management & Analytics Platform Challenge: Develop a geospatial event tracking application to help users discover and manage local events with real-time location services and crowd analytics. Solution: Built full-stack web application with interactive mapping interface using Google Maps API. Implemented real-time geolocation tracking, event clustering algorithms, user authentication system, and MySQL database for event persistence. Features distance-based filtering and category organization. Impact: Enabled discovery of 1,000+ local events, supported real-time location-based recommendations, and provided intuitive map-based interface for enhanced user experience and event engagement.
WelfareHome: Social Impact Web Platform Challenge: Build a comprehensive web platform for elderly care services, streamlining appointment booking, resource management, and communication between caregivers and families. Solution: Developed full-stack web application with responsive design using Bootstrap. Implemented backend with RESTful APIs, MySQL database for user and appointment management, and secure authentication with role-based access control for different user types. Impact: Serving 500+ elderly residents, achieved 40% reduction in administrative overhead, earned 95% user satisfaction rating, and featured in NUS community service showcase for social impact.
Fixed Income Analytics: Yield Curve Modeling Challenge: Implement multiple yield curve construction models (Nelson-Siegel, Svensson, Monotone Convex) to enhance fixed income pricing accuracy for institutional clients in energy derivatives markets. Solution: Developed Python-based yield curve fitting algorithms using NumPy and SciPy for numerical optimization. Integrated VBA with Excel for seamless trading system integration. Implemented Nelson-Siegel and Svensson parametric models plus monotone convex interpolation for smooth curve generation. Impact: Improved pricing accuracy by 15 basis points, 7x speedup in computation time (6.09s to 0.86s), deployed in production for live client analytics, and supporting 2 new energy derivative products.
Links: Technical Write-up
Black-Scholes Options Analytics Dashboard Challenge: Build an interactive options pricing calculator with real-time Greeks visualization, enabling traders to analyze option strategies and risk exposure across multiple scenarios. Solution: Developed Python-based options analytics tool using Black-Scholes model implementation with NumPy. Created interactive web dashboard with Streamlit, featuring Plotly for 3D Greeks surface visualization. Added Monte Carlo simulation capabilities for exotic options pricing. Impact: Real-time option pricing across multiple models, comprehensive Greeks calculation (Delta, Gamma, Vega, Theta, Rho), volatility smile analysis, and strategy comparison tools (straddles, strangles, butterflies) with scenario heatmaps.
"Tony demonstrated exceptional quantitative skills and attention to detail in optimizing our yield curve models. His work directly improved our client-facing analytics and showed deep understanding of financial mathematics."
[Manager Name - Placeholder]
Quantitative Analytics Lead
Compagnie Financière Tradition
"Tony's self-reflective RL framework was innovative and production-ready. He consistently delivered ahead of schedule while maintaining high code quality and demonstrating strong problem-solving abilities."
[Manager Name - Placeholder]
Data Science Lead
Skezi
"Tony is among the top students in Business Analytics, combining strong technical skills with business acumen. His projects demonstrate deep understanding of both theory and practical application."
[Professor Name - Placeholder]
Associate Professor
NUS School of Computing
Medium • [Date - Placeholder] • 8 min read
Deep dive into implementing self-reflective reinforcement learning for medical data extraction, achieving 80% cost reduction through semantic caching and dual-gate validation.
Academic Paper • NUS BT4221 • Full Report
Comprehensive analysis of big data pipeline architecture for enterprise-scale analytics, covering Apache Spark, ETL processes, and visualization strategies.
GitHub Gist • [Date - Placeholder] • Technical Guide
Implementation guide for Nelson-Siegel, Svensson, and monotone convex yield curve models with Python code examples and financial mathematics background.
CFA Institute
Expected: June 2026
National University of Singapore
Aug 2023
Coursera (Stanford/DeepLearning.AI)
[Date - Placeholder]
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