I am a Computer Science with Artificial Intelligence graduate from the University of Nottingham, where I achieved a first-class honours. My main areas of interest revolve around Machine Learning and Computer Vision, having completed several projects in these fields. Since working with data is central to my projects, I expanded my focus into data science as well.
I enjoy exploring new ideas. This led me to pursue academic research and apply the knowledge on real-life projects. My personal workstyle is highly detail-oriented. For me, the fine details are what separates high-quality projects from normal ones. Because of this, I would rather submit a project slightly later than turn in unfinished work. That said, I am fully confident in my ability to complete tasks in a reasonable time frame.
Projects
Synthetic Data: Combining Realism and Unrealism
For my individual dissertation, I was supervised by Professor Andrew French. I learnt Unreal Engine 5 from scratch to develop a image synthetic data generation pipeline. I then combined the synthetic data with the Cityscapes dataset to train a segmentation model on my university's remote GPU server, achieving a 6% increase in accuracy over the baseline model trained with only real data.Obstructive Sleep Apnea (OSA) Prediction Webpage
I led a team to consisting of me, Chen Ing Low and Gabriel Yong to develop a webpage capable of predicting OSA and its severity with an accuracy of 96%, effectively facilitating OSA diagnosis. I built the prediction models for the webpage using raw datasets collected from Malaysian hospitals which I cleaned and preprocessed.
Timeline
Computer Science with Artificial Intelligence BSc
University of NottinghamNottingham, United Kingdom • Semenyih, Malaysia- Graduated with first-class honours with a focus on Machine Learning and Computer Vision
- Developed a synthetic image data generation pipeline and an OSA Prediction Webpage
- Relevant modules : Machine Learning • Computer Vision • Big Data Learning
Computer Science Research Intern
University of NottinghamKuala Lumpur, MY- Completed two research projects in emerging computer science fields with formal written reports
- Implemented a custom neural network layer enforcing sparsity in PyTorch to improve performance by 3.43%
- Used Causal AI (PyWhy) to perform data analysis on UK crime datasets, identifying inflation as the main driver of rising crime rates
SPM & STPM (O-Levels and A-Levels equivalent)
SMJK Sam TetIpoh, Malaysia- SPM - 10As | A+ in Mathematics • A in Additional Maths • A in Physics
- STPM - CGPA : 3.75 | A (highest grade) in Technological Mathematics
Contact
The best way to reach me is through email or Whatsapp. Feel free to reach out to me regarding any opportunities or small-scale projects within my area of expertise. I would be happy to discuss your ideas.