Study in NUS
- Year 2 Computer Science with 2nd Major in Management
- Relevant modules: Data Structures and Algorithms, Software Engineering, Introduction to AI and Machine Learning
- Co-curricular experience: Director of Student Engagement, NUS Students' Computing Club, Singapore
Product Experience
2nd Place • PayPal × NUS Product Club Product Launchpad
- Selected for a 6-week intensive PM workshop and concurrent case competition at the PayPal Innovation Lab, moving from zero-to-one product management through weekly in-person sessions.
- Led the discovery phase using the GAP framework to identify that 70% of financial institutions lose clients during onboarding; Validated the "Momentum Gap" for SMEs through qualitative research and market trend analysis.
- Architected an AI-Adaptive Parallel Onboarding System featuring a Dynamic Engagement Engine (Yield & Cost of Wait Simulators) and a Risk & Revenue Orchestration Engine to prioritize high-value activation.
- Utilized JTBD to define user goals and applied MoSCoW prioritization to scope an MVP that balances regulatory compliance with immediate "Investment Sandbox" engagement. Designed a three-phase Beachhead GTM strategy and implemented Shadow Mode and Blind QA protocols to mitigate AI automation bias and ensure global model transferability.
Product Specialist Intern • Fly Fairly
- Working on the end-to-end development of a high-impact Operational Reporting Suite using Next.js, managing the full product lifecycle from stakeholder discovery and scoping to build and validation.
- Engineering data reports for engineering, product, marketing and operation departments within the back office, managing the technical trade-off between real-time data freshness and query performance by defining precise metrics and data sources.
- Focusing on translating complex data sources into actionable metrics and filters to support daily executive decision-making.
Consulting Experience
1st Runner Up (100+ Teams) • SGX-NUS Sustainability Case Competition
- Spearheaded product discovery to identify the "Complexity Wall" for Gen Z investors and architected a DLT-based fictionalisation strategy that reduced institutional entry barriers by 5,000x ($250k to $50).
- Designed an API-driven framework to normalise complex ESGenome institutional data into relatable retail impact metrics, bridging the technical disconnect for digital-native users.
Part Time Assistant • Bain & Company
- Selected to support a private equity due diligence assessing a family planning products brand as store visit temp.
- Conducted primary market research across multiple offline channels by developing a structured data summary framework using standardised Excel templates to capture and organise critical product attributes, including pricing, shelf placement, and availability
Selected Projects
Facilities Booking Telebot
Built a Telegram-based booking system with real-time availability checks, conflict detection, and approval notifications.
SoCTAssist
SoCTAssist is a desktop app designed specifically to help Teaching Assistants manage their students' information, homework, attendance, and consultation sessions more efficiently.
The Travel Parrot
Used GPT to label 10,000+ raw restaurant reviews and trained a Random Forest classifier with engineered NLP features to filter low-quality reviews.
shAIpping_List@NUS
Built a full-stack AI shopping list generator using GPT-4o, React, and PostgreSQL with locally curated items near NUS.
