I am a researcher and engineer interested in understanding and optimizing complex systems — computational, social, and cognitive alike.

With a background in computer science and psychology, I am inspired by insights from cognitive science on learning and memory, as well as the parallels between cognitive and computational architectures.

At present, I am engaged in research and engineering efforts focused on scalable, high-performance machine learning systems. I have had the privilege of collaborating with and learning from world-class talents such as Shen Li and Yongxiong Ren, amongst many others.

Experiences

• 24/04 – Present: Software Engineer, Machine Learning, Meta.
  • Accelerated and scaled training of traditional and LLM-based recommendation models via efficient distributed training, GPU kernel optimizations (e.g., custom Triton kernels), and hardware-software co-design.
  • Enhanced training efficiency by refining the platform supporting recommendation models across Meta’s products, including Facebook, Instagram, and Threads.
  • I will be sharing more about our ML efficiency work surrounding the recommendation models powering Reels at NVIDIA GTC 2026. Join us if you’re around the area!
• 23/10 – 23/12: Data Engineer Intern, HoYoverse (subsidiary of miHoYo).
• 23/06 – 24/01: Student Researcher, Language and Computation Lab.
  • Psycholinguistic research on English semantic variation, presented at AJL’23.
• 22/10 – 23/11: Student Researcher, Singapore Blockchain Innovation Programme.
  • Built Blockbench v3, a benchmark suite for L1 blockchains, presented at VDBS’23.
• 22/10 – 23/08: Software Engineer Intern, TikTok (subsidiary of ByteDance).
• 22/05 – 22/10: Software Engineer Intern, Autodesk.
• 21/02 – 22/07: Student Researcher, Computational Affective and Social Cognition Lab.
  • Computational modeling of emotional causal inference, presented at CogSci’22.

Education

• National University of Singapore
  Master of Computing (MComp), Artificial Intelligence. 2026 (expected).
• National University of Singapore
  Bachelor of Computing (BComp), Computer Science. 2023.
• National University of Singapore
  Bachelor of Arts (BA), Psychology. 2023.