AI researcher and MComp student at the National University of Singapore
About
I am a Masters student at the National University of Singapore pursuing a Masters in Computer Science, after completing my bachelors in Computer Engineering. My interests sit between systems, machine learning, reasoning, planning, and post-training of language models.
I am currently working at the Scalable AI Lab under Prof. Lu Yao, focusing on post-training LLMs into specialized knowledge-aware agents and building concrete benchmarks for measuring reasoning behavior.
Projects
Planner-centric RL for deep research using typed DAG plans and structure-aware reward. DecomposeR-8B improves over open baselines by 5.1–8.0 points on long-form benchmarks.
A Singapore OSM visual route-choice benchmark where VLMs inspect colored candidate driving routes and identify the shortest route without using a routing API at inference time.
A 450-puzzle Rush Hour benchmark across 3x3, 4x4, and 5x5 grids, with puzzle images, text prompts, solution validation, and model performance tables.
Experience
Infiniwell, Trondheim, Norway
Curium, Singapore
Technology Centre for Offshore and Marine Singapore
Education
National University of Singapore
National University of Singapore
Raffles Institution
Skills
Python, C/C++, JavaScript, SQL
PyTorch, TensorFlow, deep RL, transformers, model evaluation
React, Django, Flask, Three.js, GraphQL, static benchmark viewers
AWS, Docker, Git, ROS, Linux
Contact