Passionate about continuously learning and using AI to make a difference. I believe technology should empower us to do what we love. Outside of work, you’ll often find me out in nature—running, cycling, or hiking—or deep in conversations that spark fresh ideas. Always excited to chat about AI innovations, supply chain optimization, or simply to exchange stories and perspectives.
Languages/Tools:
- Technical: AI/ML, Deep Learning, Computer Vision, LLM, NLP, Supply Chain Optimization
- Soft: Product Management, Project Management, Stakeholder Collaboration
| Degree/Program | Institution | Duration |
|---|---|---|
| M.S. Artificial Intelligence | Nanyang Technological University | Aug 2024 – Aug 2026 |
| B.S. Chemical Engineering | National University of Singapore | Aug 2015 – Jun 2019 |
| Data Science Immersive | General Assembly | Jun 2024 – Dec 2024 |
| GCE 'A' Levels | Hwa Chong Institution | Jan 2013 – Dec 2014 |
Data Scientist, Supply Chain, AI Hub
Louis Dreyfus Company (Jun 2025 – Present)
- Lead product management for proprietary vessel tracking platform serving 1,000+ monthly active users across 20 countries, driving cross-platform adoption and AI feature integration
- Part of the Singapore AI Hub, developing digital twin solutions to optimize global supply chain operations
Assistant Manager, Data Scientist
SATS Ltd (Jan 2024 – Jun 2025)
- Led a project for Cargo team to use Computer Vision to locate shipments within the Airfreight Terminal. Use YOLO for Object Detection of shipments and OCR to for identification. Reduced missing shipments from 200 to less than 100 monthly, cost avoidance due to reduction in penalties by ~S$100K yearly. Reduction in manhours spent searching for shipments by 30%, and reduction in dwell time of shipments by 15%. Developed it from a MVP to a production-level solution.
- Designed and deployed an AI-powered agent in Azure to automatically extract cancelled and rescheduled flight data from unstructured TELEX-style messages, emails, and SQL databases. Integrated LLM-based reasoning to interpret inconsistent formats and identify relevant records, consolidating results into a structured dataset. Built a Teams chat interface for operational staff to query disruptions in real time, reducing manual data extraction.
Data Analytics & Science, APAC Supply Chain Excellence
_Johnson & Johnson (Dec 2021 - Dec 2023)**
- Automated reporting pipelines using Alteryx, Python, and PowerQuery, improving reporting accuracy to 95% and saving 3 hours per week.
- Designed and implemented PowerBI dashboards to enhance portfolio visibility, resulting in cost-savings of ~500K USD by enabling leadership to prioritize high-impact projects.
- Developed and deployed demand forecasting models (ARIMA, Random Forest) with a 10% accuracy improvement,optimizing supply chain performance by reduction in inventory levels of 10%.
Personal project that helps to track meaningful interactions and strengthen relationships. Never forget the moments that matter most.
Classification app to improve running/walking posture with real-time CV and Streamlit deployment.
Reconstructing 3D structures from 2D images using SfM & PyCOLMAP.
