Applied AI Programmes
Partner discovery, scoping, prototypes, research translation, and roadmaps.
Applied AI | Sovereign AI | Ecosystem Development | PhD in NLP
Solutions Architect, NVIDIA AI Technology Centre (NVAITC)
Profile
I shape applied AI programmes, prototypes, and roadmaps with academic, government, and industry partners. My work spans foundation models, multimodal AI, agents, accelerated computing, and sovereign AI. I did my PhD at SUTD, focused on paraphrasing, semantic similarity, dataset reliability, and sentence-pair classification for NLP generation, classification, and testing.
Focus Areas
Partner discovery, scoping, prototypes, research translation, and roadmaps.
Generative AI, vision-language systems, synthetic data, and model adaptation.
GPU workflows, containers, distributed training, Kubernetes, and HPC.
Workshops, mentoring, student supervision, and ecosystem building.
Experience
Lead and support applied AI collaborations across Singapore, Thailand, Indonesia, Vietnam, and Australia.
Awarded Formation Promising NSman of the Year and invited to the Presidential Garden Reception 2026.
Researched multimodal foundation models and long-form image captioning with a Japanese R&D team.
Completed a five-year NVIDIA internship alongside undergraduate and postgraduate studies.
Liu T. and Soh D.
Joseph R., Liu T., Ng A.B., See S., Rai S.
Huangsuwan K., Liu T., See S., Ng A.B., Vateekul P.
Hongwimol P., Kehasukcharoen P., Laohawarutchai P., Lertvittayakumjorn P., Ng A.B., Lai Z., Liu T., Vateekul P.
Arefeen R., Miao X., Tong R., Ng A.B., See S., Liu T.
Gupta N., Vyalla R.R., Anand A., Kirtani C., Cambria E., Zhang Z., Wang Z., Liu T., et al.
Gopikrishnan G., Panicker M.R., Liu T., Ng A.B., See S.C.-W.
Chan J.Y., Guo H., Liu T., Ng A.B., See S.
Education
President's Graduate Fellowship scholar. Thesis: Foundations and Applications of Paraphrasing in NLP.
Information Systems Technology and Design, with cybersecurity research and student workshops.
Awards & Community
Gold Award for modelling medical-shock financial vulnerability with XGBoost and Tableau.
Finalist at YITU Singapore AI Hackathon; winner at Google "Fake News Must Die" and Red Hack.
Featured project for Prowler, a Raspberry Pi cluster network vulnerability scanner.
Mentor at AI Saturdays Singapore and co-lead for Intel Make Tomorrow Catalyst workshops.
Technical Skills
Multimodal Generative AI, Agentic AI Systems, NLP, Deep Learning
Python, SQL, Bash, HTML/CSS/JavaScript, Java
PyTorch, TensorFlow, HuggingFace Transformers, DeepSpeed, vLLM, SpaCy, NumPy, SciPy, OpenCV, XGBoost, Dask
Linux/Unix, Git, Docker, Kubernetes, AWS, GCP, Azure, PBS, Slurm
GPU/CUDA, NIM, NeMo, VSS, MONAI, RAPIDS, NemoClaw
English and Mandarin Chinese
Open Source
Python CLI for Apple Silicon telemetry across CPU, GPU, ANE, memory bandwidth, and power.
Contributions to HuggingFace Transformers, TensorFlow docs, and JupyterHub GPU guidance.