AI & Data Engineering Student | Machine Learning Intern
Academic achiever and real-world problem solver building AI systems that work, scale, and sometimes scare birds.
Maintained
0
cGPA
(Y2S2)
Achieved
0
DIST grade
in core modules
Attained
0
As or higher grade
in core modules
Won
0
Hackathon
Year 1
Top Student
Q-Camp at CQT
NUS
QKD with Arduino
NYP ♡
Current top student of the cohort. ASEAN scholarship recipient. AI tinkerer who once made a Hokkien speech model.
I specialize in building practical, scalable and fun AI systems — like image-to-image models, resume classifier, Raspberry Pi–powered object detectors, and sentiment analysis models that track the S&P500 better than my risk-loving friend.
I love self-studying and taught myself ML/DL algorithms from DataCamp while juggling part-time jobs, weekend shifts, and late-night debugging marathons. I believe in turning constraints into creativity — and building things that actually work, not just good grades.
Oh, and I built this site from scratch because WordPress tried to charge me for being responsive.
My friends and lecturers say I am a
Custom daring CNN vs. MobileNetV2 for classifying vehicles (airplane, automobile, truck) on low-res 32x32 data. Built with TensorFlow, Keras & fine-tuning techniques with cherry-picked inspirations from EfficientNet, ResNet and MobileNet.
An up-to-date and fully interactive NLP-finance dashboard using VADER sentiment analysis on global news (BBC, NYT, Reddit) from 2008 to 2024, informing young investors of the volatility and Value-at-Risk involved in long-term S&P500 investment