Fresh CS graduate from [MMU]. Passionate about cool algorithms and building real-world systems.
During my undergrad, I did research at the [ViPr Lab] for my final-year project on aesthetic image cropping, supervised by [Assoc. Prof. Dr. Wong Lai Kuan]. This work was published as a [workshop paper] at [ICCV] and awarded for Best FYP.
I interned as a Machine Learning Engineer at [Grab] (AI Platform team), where I built tools to make data scientists' workflows smoother. I also interned as a Data Scientist at [MoneyLion] (ML Solutions team), where I focused on improving the transaction categorizer model for long-tail categories.
I enjoy [coding competitively] and [building cool side projects]. Always open to discussing ML, tech, or collaboration opportunities.
Reach out to me via [LinkedIn] or [email]. You can also find my CV [here].
Experience
Updates
Oct 2025
Attended [ICCV 2025] at Honolulu.
Aug 2025
Attended [OxML 2025] at Oxford. Read how it went [here].
Jul 2025
Started my MLE internship at Grab.
[FYP Paper] accepted at [ICCV MIPI Workshop 2025].
Jun 2025
Received the Best FYP Award in Data Science.
May 2025
1st Runner Up, PLN 2025 (PEKOM).
Apr 2025
Invited as a Guest Workshop Speaker at PLN 2025 (PEKOM).
Blogs
My two weeks in the UK 🇬🇧
The UK, told in thousands of words.
OxML 2025
Machine Learning Summer School at Oxford!
Conformal Prediction
Quantifying uncertainty in prediction tasks.
Hello World #2
print('Hello World!')
Problemsetting at CodeNection 2023
My experience as a problemsetter and some other things about it.