Experience

MMI Capital

Frontend Web Developer

Aug 2025 - Present

Education

BSc. (Hons) Applied Mathematics with Computing, First Class Honours

Oct 2022 - Oct 2025

Foundation in Science

Oct 2021 - Oct 2022

Awards

KPJ Healthcare K.R.A.F.T. Challenge 2025

Top 12

Nov 2025
CodeNection Hackathon 2025

Mentor

Oct 2025
PayHack 2025

Consolation Prize

Aug 2025
Alibaba Cloud AI Hackathon 2025

Top 13 Finalist

May 2025

Certifications

Databricks Fundamentals
Issued Apr 2026

Grants

Kuok Foundation Scholar
Oct 2024
HuaZong Education Fund
Apr 2024
KIT Foundation Scholarship
May 2023
UTAR Scholarships for Top Achievers
Oct 2022
UTAR Scholarships for Top Achievers (Pre-U)
Oct 2021

Open Source

12 Mar 2026
Abstract

Added type annotations to sympy.utilities.exceptions, covering SymPyDeprecationWarning, sympy_deprecation_warning, and ignore_warnings. The patch uses a TYPE_CHECKING guard to keep collections.abc out of the runtime import path. Reviewed and merged into sympy:master by maintainer @oscarbenjamin. Part of the broader typing effort tracked in Issue #28806.

  • Python
  • Type Annotations
  • Open Source
  • SymPy

Volunteering

KitaHack 2026
Mentor & Judge @ Google Developer Groups on Campus Malaysia
Mar 2026
CodeNection Hackathon
Hackathon Mentor @ CodeNection
Oct 2025

Memberships

Kuok Foundation
2025 - Present

Publications

Apr 2026
Abstract

A full-factorial experiment in the Public Goods Game shows that information regime and incentive strength explain 85.8% of cooperation-rate variance; algorithm choice accounts for just 3.8%. Agents with the least information cooperate most (83% vs 42% under full observation), attributable to state-space compression. TreeSHAP and Shapley-variance decomposition confirm information structure, not algorithm selection is the primary design lever for cooperation.

  • Multi-Agent Reinforcement Learning
  • Public Goods Game
  • Information Design
  • Cooperation
Apr 2026
Abstract

Studies optimal trade execution strategies that incorporate predictive alpha signals, bridging market microstructure theory with practical quantitative trading. Preprint available on SSRN.

  • Quantitative Finance
  • Optimal Execution
  • Alpha Signals
  • Market Microstructure