Summary
Hu Keat is a research-focused software engineer with nine years of experience building AI systems, LLM pipelines, and tooling to accelerate data-driven research. Currently a Research Assistant at the National University of Singapore, he designed a custom tokenizer for the Corpus of Singapore English Messages and automated Qualtrics data entry, turning hours of manual work into minutes. His internship work probed noise and randomness in diffusion and flow-matching models to improve the efficiency of image generation, and earlier research applied programmatic methods to compare Linear A with attested language dictionaries. Based in Singapore and active as a freelance developer on GitHub, he bridges computational linguistics and machine learning with practical engineering that scales academic workflows. Notably, he blends deep model experimentation with pragmatic engineering—writing bespoke preprocessing tools that enable novel linguistic and generative AI research.
9 years of coding experience
Vassar College
Singapore GCE A' Levels, Singapore GCE A' Levels at Nanyang Junior College
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at National University of Singapore
English, Chinese, Chinese