Final-year CS undergrad at [MMU], specializing in Data Science. Passionate about cool algorithms and building impactful real-world systems.
Currently interning as a Machine Learning Engineer with the AI Platform team at [Grab], where I develop tools and infrastructure to streamline workflows for Data Scientists.
Previously, I interned as a Data Scientist at [MoneyLion]'s Machine Learning Solutions team, enhancing their transaction categorizer model, with a focus on improving accuracy for long-tail categories.
Outside of work, I enjoy [coding competitively] and [building cool side projects]. Always open to discussing CP, ML, tech, or collaboration opportunities.
Reach out to me via [LinkedIn] or [Email] You can also find my CV [here].
Experiences
Updates
Jul 2025
Started my MLE internship at Grab.
FYP paper accepted at [ICCV MIPI Workshop 2025].
Jun 2025
Awarded 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).
Projects
Local food educhtion app featuring MLOps pipelines.
Sudoku mobile app with sudoku image recognition and sudoku solver.
Predict Codeforces optimal rating with more than 400 upvotes on Codeforces.
Fully connected layers and auto-backpropagation, implemented from scratch.
Automate attendance taking and notify new announcements on MMU virtual classroom.
Solving and generating mazes using graph traversal algorithm.