Applied AI Programmes
Partner discovery, scoping, prototypes, research translation, and roadmaps.
Profile
Bridging AI research and adoption.
I help 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
Where I spend my time
Foundation & Multimodal Models
Generative AI, vision-language systems, synthetic data, and model adaptation.
Accelerated Computing
GPU workflows, containers, distributed training, Kubernetes, and HPC.
AI Enablement
Workshops, mentoring, student supervision, and ecosystem building.
Experience
Regional AI collaboration and enablement.
Solutions Architect
Support applied AI collaborations across Singapore, Thailand, Indonesia, Vietnam, and Australia.
- Drive adoption across foundation models, multimodal AI, agents, simulation, and sovereign AI.
- Mentor team members and supervise postgraduate research across AI and accelerated computing.
- Deliver workshops and invited sessions for academic, government, and industry audiences.
NSman
Awarded Formation Promising NSman of the Year and invited to the Presidential Garden Reception 2026.
Research Intern
Researched multimodal foundation models and long-form image captioning with a Japanese R&D team.
- Improved paragraph-length captioning and synthetic data for image-text retrieval.
- Fine-tuned 7B+ multimodal models on ABCI with multi-GPU training and DeepSpeed.
Solutions Architect Intern
Completed a five-year NVIDIA internship alongside undergraduate and postgraduate studies.
- Built a deep learning container for reproducible experimentation.
- Supported GPU workloads on Kubernetes across on-premises and cloud environments.
- Earned NVIDIA DLI Certified Instructor status for NLP, RAPIDS, and multi-GPU courses.
Towards Better Characterization of Paraphrases
Liu T. and Soh D.
NewsMet: A "do it all" Dataset of Contemporary Metaphors in News Headlines
Joseph R., Liu T., Ng A.B., See S., Rai S.
FedDrip: Federated Learning With Diffusion-Generated Synthetic Image
Huangsuwan K., Liu T., See S., Ng A.B., Vateekul P.
ESRA: Explainable Scientific Research Assistant
Hongwimol P., Kehasukcharoen P., Laohawarutchai P., Lertvittayakumjorn P., Ng A.B., Lai Z., Liu T., Vateekul P.
DAST: A Dual-Stream Voice Anonymization Attacker with Staged Training
Arefeen R., Miao X., Tong R., Ng A.B., See S., Liu T.
IRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning
Gupta N., Vyalla R.R., Anand A., Kirtani C., Cambria E., Zhang Z., Wang Z., Liu T., et al.
ADAPT: Multibeamformer with Tunable Weight Fusion and Patch-Wise Learning for Ultrasound Imaging
Gopikrishnan G., Panicker M.R., Liu T., Ng A.B., See S.C.-W.
ShalDeepDP: A Survey and Comparison of Data Poisoning in Statistical, Classical Deep Learning and Foundation Models
Chan J.Y., Guo H., Liu T., Ng A.B., See S.
Education
Singapore University of Technology and Design
PhD, Natural Language Processing
President's Graduate Fellowship scholar. Thesis: Foundations and Applications of Paraphrasing in NLP.
Bachelor of Engineering (Honours)
Information Systems Technology and Design, with cybersecurity research and student workshops.
Awards & Community
Selected recognition and community work.
Hyperhack Datathon
Gold Award for modelling medical-shock financial vulnerability with XGBoost and Tableau.
AI & Security Hackathons
Finalist at YITU Singapore AI Hackathon; winner at Google "Fake News Must Die" and Red Hack.
Black Hat Asia
Featured project for Prowler, a Raspberry Pi cluster network vulnerability scanner.
Community Teaching
Mentor at AI Saturdays Singapore and co-lead for Intel Make Tomorrow Catalyst workshops.
Technical Skills
Research and engineering toolkit.
Research Areas
Multimodal Generative AI, Agentic AI Systems, NLP, Deep Learning
Languages
Python, SQL, Bash, HTML/CSS/JavaScript, Java
Frameworks
PyTorch, TensorFlow, HuggingFace Transformers, DeepSpeed, vLLM, SpaCy, NumPy, SciPy, OpenCV, XGBoost, Dask
Platforms
Linux/Unix, Git, Docker, Kubernetes, AWS, GCP, Azure, PBS, Slurm
Agentic Coding
Codex, Claude Code, AWS Kiro, Cursor
Spoken Languages
English and Mandarin Chinese
NVIDIA Technologies
- GPU Infrastructure and Cluster Management
- Bare-metal deployment, configuration, and management of NVIDIA GPU clusters for AI workloads
- AI Model Deployment and Inference
- NVIDIA NIM, Nemotron models, Blueprints, and Brev for deploying and operationalising AI applications
- AI Model Development and Customisation
- NVIDIA NeMo for model training, adaptation, and data curation workflows
- Accelerated Data Science and Computing
- RAPIDS and CuPy for GPU-accelerated data processing and numerical computing
- Domain-Specific AI Applications
- Visual Search and Summarization (VSS) for video AI applications, and MONAI for medical imaging AI workflows
Open Source
Tools and upstream contributions.
asitop
Python CLI for Apple Silicon telemetry across CPU, GPU, ANE, memory bandwidth, and power.
Upstream Contributions
Contributions to HuggingFace Transformers, TensorFlow docs, and JupyterHub GPU guidance.