Computer Science and Artificial Intelligence student on a Fast-Track Masters Double Degree Programme at SMU, fully funded by the DSTA Merit Scholarship. Currently working as a AI Research Engineer Intern at DSTA. Dean's List recipient, enrolled in the ACE Programme.
Education
Singapore Management University
Aug 2024 – Dec 2028Fast-Track Masters Double Degree Programme
Master of Information Technology in Business (Artificial Intelligence)
Bachelor of Science in Computer Science (Artificial Intelligence)
- DSTA Merit Scholarship (Fully-funded studies)
- Dean's List
- Computing ACE Programme
Raffles Institution
Jan 2020 – Dec 2021Singapore-Cambridge GCE 'A'-Level
Raffles Institution FIRE Award
Experience
Defence Science & Technology Agency (DSTA)
Mar 2025 – PresentAI Research Engineer InternMay 2026 – Jul 2026
Worked on NLP and computer vision projects, exceeding a 20% confidence score delta KPI.
Merit ScholarMay 2025 – Dec 2028
Fully funded bachelor's and master's degrees.
SMU School of Computing & Information Systems
Aug 2025 – Dec 2025CS101 Teaching Assistant
Assisted students in debugging C programs — identifying logical errors, syntax issues, and memory-related mistakes (pointers, arrays). Reinforced computational thinking and programming best practices.
IS211 Teaching Assistant
Mentored student teams weekly throughout the interaction design and development process, guiding evidence-based design iteration from user feedback and testing.
Projects
Non-Invasive Haemoglobin Level Estimation
Oct 2025Data Science & Analytics Competition — 2nd Place
End-to-end computer vision and ML pipeline to estimate haemoglobin levels from smartphone-captured lip images. Engineered 28 interpretable colour, quality, and statistical features using OpenCV/NumPy, applied data augmentation and cross-domain fusion with conjunctiva data, and trained a Random Forest regressor.
LAWGIC — RAG-Based Legal Analysis System
Sep 2025Legal Tech Hackathon
End-to-end legal analysis system for Singapore's PDPA using a multi-stage RAG pipeline combining Legal-BERT for legal term extraction, semantic similarity retrieval, and Gemini LLM for structured legal reasoning. Implemented a four-layer context validation framework and dynamic model-fallback strategy for quota-resilient analysis.
Aspect-Based Sentiment Analysis on Mental Health Data
Dec 2024 – Mar 2025Fine-tuned BERT with multitask learning to extract aspects and classify sentiment from Reddit mental health posts. Generated synthetic ABSA training samples via the OpenAI API and evaluated performance using precision, recall, and F1-score.
Publications
Coming soon!