CV
Link to full CV
Education
- Ph.D., Nanyang Technological University (NTU), Singapore (2021 – 2024)
- Thesis: Multi-sensor Fusion for In-Situ Defect Detection in Laser-Directed Energy Deposition
- Specialization: Multimodal Deep Learning, Robotic Metal 3D Printing
- B.Eng. (Highest Distinction), Mechanical Engineering, Nanyang Technological University (NTU), Singapore (2017 – 2021)
- Specialization: Robotics and Mechatronics
- Semester Exchange, Technical University of Denmark (DTU), Copenhagen, Denmark (2019)
Professional Experience
- Data Science Manager, American Express, Singapore (Jan 2026 – Present)
- Partnering with risk, product, and engineering teams on AI-enabled decision-support initiatives.
- Building an agentic case copilot for credit and fraud operations to speed up investigation and decisioning.
- AI/ML Computational Scientist, Accenture, Singapore (Apr 2025 – Jan 2026)
- Built a LangGraph-based multi-agent platform for enterprise KYC automation.
- Reduced review cycle time and manual effort through structured extraction, orchestration, and audit-ready workflows.
- Research Scientist, Advanced Remanufacturing and Technology Centre (ARTC), A*STAR, Singapore (Apr 2024 – Mar 2025)
- Led AI projects in engineering-drawing parsing, CAD feature recognition, and manufacturing knowledge systems.
- Developed RAG and vision-language pipelines for manufacturability analysis and decision support.
- Research Intern & PhD Research Attachment, Singapore Institute of Manufacturing Technology (SIMTech), A*STAR, Singapore (Aug 2019 – Mar 2023)
- Developed multi-modal learning methods for real-time defect detection in laser additive manufacturing.
- Built ROS-based adaptive control and dimension-correction workflows for robotic metal 3D printing.
- R&D Engineer (Part-time), Schaeffler Hub for Advanced Research at NTU, Singapore (Jan 2020 – Dec 2020)
- Developed ROS-based navigation, collision avoidance, and control tools for mobile robotic systems.
Skills
- Programming: Python, C++, C
- Robotics: ROS, ROS2, ABB RAPID, Kuka KRL, MoveIt, Gazebo
- Machine Learning & Deep Learning: Scikit-learn, Keras, TensorFlow, PyTorch, OpenCV
Scholarships and Awards
- SIMTech & ARTC Best Student Award (2023/2024)
- First Place, ASME 2023 Hackathon (2023)
- Best Paper Award, International Conference of Additive Manufacturing (2022 & 2023)
- Highly Commended, Global Undergraduate Awards (2020 & 2021)
- A*STAR Graduate Scholarship (Ph.D.) (2021 – 2024)
- Certificate of Distinction, Professional Internship, NTU (2021)
- NTU Journal Publication Award (2021)
- NTU URECA Undergraduate Research Excellence Award (2020)
- Dean’s List, School of Mechanical and Aerospace Engineering, NTU (2018 – 2019)
- NTU President Research Scholar (2018 – 2020)
- Science and Engineering Undergraduate Scholarship (SM2), Singapore Ministry of Education (2016 – 2021)