Applied AI | Ecosystem Development | PhD in NLP
Solutions Architect, NVIDIA AI Technology Centre (NVAITC)
I connect AI research with practical adoption through applied AI programmes, prototypes, and partner collaboration, grounded in a PhD in natural language processing.
Regional AI collaboration and enablement.
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.
A hand-annotated news headline dataset supports evaluation of how language models interpret and generate metaphors.
Two measures describe changes in word order and vocabulary, helping researchers inspect paraphrase datasets and select generated paraphrases.
Diffusion-generated images train an additional model to help federated learning cope with differences in data across participating sites.
A literature search tool uses a knowledge graph to explain returned papers and show connections between research topics.
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Singapore University of Technology and Design
President's Graduate Fellowship scholar. Thesis: Foundations and Applications of Paraphrasing in NLP.
Information Systems Technology and Design, with cybersecurity research and student workshops.
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.
Partner programmes, prototypes, and technical workshops, demonstrated through speaking and partnerships.
Paraphrasing, semantic similarity, and model adaptation, grounded in paraphrase research and multimodal work at Sony Research.
Containers, multi-GPU training, and performance experiments through ai-lab and TensorFlow Metal benchmarks.
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
NVIDIA technologies: GPU cluster deployment and management; NIM, Nemotron models, Blueprints, Brev, NeMo, RAPIDS, CuPy, Visual Search and Summarization (VSS), and MONAI
Spoken languages: English and Mandarin Chinese
Apple Silicon telemetry CLI for CPU, GPU, ANE, memory, and power.
GPU-enabled AI development container for rapid prototyping and JupyterHub.
TensorFlow Metal experiments and model benchmarks on Apple Silicon.
CNN/LSTM experiments for five-class emotion classification of short text.
Raspberry Pi cluster-based distributed network vulnerability scanner.
CPU benchmark notebooks comparing Apple Silicon across numerical and NLP workloads.
A personal aircraft-spotting logbook and aviation photography field guide, with an interactive world map, aircraft index, squadron records, airshow collections, and spotting statistics.
