A serious pursuit of fun.
Structured Multi-Agent World Models is my research project done under CS4246 AI Planning and Decision Making.
Barlow Twins for Model-based Reinforcement Learning is my 1-year undergraduate research project advised by Prof. Harold Soh at the Collaborative, Learning and Adaptive Robots (CLeAR) AI Lab.
The Chosen One
Multi-agent reinforcement learning trained by adversarial training, was awarded the Best AI Hack at the iNTUition Hackathon 2019 at Nanyang Technological University.
COVID Policy Simulator
An agent-based modelling (ABM) study on mask wearing and its effect on policy interventions, done for my USP quantitative reasoning module.
Feature experimentation for Indeed's match recommendation platform is my internship project at Indeed in summer 2022, which improved matches for 300M job seekers.
A framework for building generative and probabilistic models for training reinforcement learning agents, is my internship project at Grab in summer 2020, which I presented at Google Developer Space.
An open-source question answering chatbot, that combines a series of frequently-asked question (FAQ) similarity matching, deep natural language processing (NLP) question answering and search.
An AI-enabled social media analytics solution for real-time brand and product insights, was designed during the HACK Asia Global Hackathon 2020, and was awarded Top 10 Finalist.
A data-driven interactive article on climate change, awarded 1st Runner Up for the Optigram Data Visualisation Competition 2021.