Experience & education
Lobah · AI Research Lead
2025 — NOW
I lead a team of four working on HTML5 game generation. We use multiple agents and models to handle requirements, layouts, assets and code.
A*STAR · BII · Research Intern
2024 — 2025
I worked on IHC image analysis at the Bioinformatics Institute, from finding and segmenting nuclei in pathology slides to extracting features and classifying them.
Nanyang Technological University · MSc · Biomedical Data Science
2024 — 2025
Highest Distinction · TGPA 4.95 / 5.0. Master’s degree in Biomedical Data Science.
University of Wollongong · BSc · Computer Science
2021 — 2024
High Distinction · WAM 89.8 / 100. Bachelor’s degree in Computer Science.
Projects
AI-powered game creation
Led a team of four on a multi-stage agent pipeline connecting requirements, wireframes, assets, and code. Reduced generation time from ~1 hour to ~15 minutes per game, with a reusable library of 21,000+ AI-generated assets.
Automated IHC biomarker analysis
Automated nuclei segmentation, 864-dimensional optical-density features, and Random Forest classification. Achieved 97.9% four-class accuracy on 2,000 labeled nuclei from held-out Slide B; applied the model to 2,455,325 nuclei across two slides.
Technical skills
Awards & languages
2nd Prize, Singtel GD Hackathon 2020 · Finalist, Shopee Code League 2021 & 2022 · Finalist, Huawei HMS App Competition 2020.
10+ championships and gold medals in CrossFire Mobile professional and national tournaments (2015–2017, résumé record).
Chinese (native) · English (fluent) · Thai (intermediate)