Projects List
A comprehensive list of engineering projects, machine learning systems, and research platforms I've developed.
projects · machine-learning · software-engineering · healthtech
Computer Science (Data Science & AI) @ University College Dublin
Award-winning competitor in international AI Olympiads with a proven track record of building end-to-end machine learning architectures and production backend services. Passionate about applied computer vision, NLP, and intelligent software systems.

I am a Computer Science student specializing in Data Science and Artificial Intelligence at University College Dublin. I train Malaysian students for international AI Olympiads with the Malaysian AI Olympiad Fellowship (MAIO) and serve as Technical Director at AMISO. Seeking software development and AI/ML research opportunities to build intelligent, real-world systems.
Currently pursuing Computer Science specializing in Data Science & Artificial Intelligence at University College Dublin. Previously achieved 4A* in Cambridge A-Levels at INTI and graduated as the Best Graduate of 2024 (9A+ 1A) from Chung Ling High School Penang.
Active as a Fellowship Trainer for the Malaysian AI Olympiad (MAIO), preparing students for international contests across computer vision, NLP, and audio domains. Serving as Technical Director at AMISO, leading developer teams on Olympiad outreach platforms.
Hands-on experience in applied machine learning across Computer Vision, NLP, and predictive modeling. Experienced with PyTorch, Hugging Face Transformers, OpenCV, and Scikit-learn, spanning model fine-tuning, data pipeline engineering, and benchmarking.
Award-winning competitor in international Olympiads and algorithmic contests. Bronze Medalist at the International Olympiad in Artificial Intelligence (IOAI 2026), Honorable Mention at APOAI 2026, Champion at NAIC 2026, and USACO Gold competitor.
Track record of building end-to-end ML systems and production backend services. Proficient in Python, C++, JavaScript, SQL, and PHP, utilizing frameworks like Django, Node.js, Next.js, Supabase, and mobile development in Flutter.

Built secure participant-tracking infrastructure for a 200+ person prospective study on maternal-infant postpartum psychological adjustment. Developed with Next.js, ShadCN, and Supabase, ensuring interpretable insights and robust data protection.
Next.js · ShadCN · Supabase · Infrastructure · Data Protection

Engineered a preprocessing pipeline (CLAHE, Graham's Method, Feature Adaptive Cropping) for retinal image analysis and trained an ensemble model (ResNet-34, EfficientNetB4, RandomForest) reaching 91% accuracy on limited, unbalanced data. Champion at NAIC 2026.
Computer Vision · PyTorch · OpenCV · Scikit-learn · Transformers

Curated and cleaned a 16,000+ image dataset to train an EfficientNetV2 classifier recognizing 8 classes of Malaysian traditional kuih. Fine-tuned the model with PyTorch and Hugging Face to reach 98% validation accuracy and 100% test accuracy.
PyTorch · Hugging Face · Transformers · EfficientNetV2 · Computer Vision

A mental-health journaling platform with interactive ChartJS mood visualizations and an NLP backend combining KeyBERT keyword extraction with emotion-detection models and graph-based contextual sentiment analysis (NetworkX).
NLP · Transformers · KeyBERT · NetworkX · ChartJS · Python

A full-stack health-diagnostics app with a Flutter frontend and a Django REST backend, applying clean architecture and separation-of-concerns design. Integrated an AI model to analyze patient symptoms and generate rapid preliminary diagnoses.
Flutter · Django · PyTorch · REST API · Scikit-learn
AI Mentorship & Training
Student Governance
Technical Leadership
Computer Science Education
Technical Leadership · Project Management · Team Coordination · Strategic Planning
Neural Networks · Deep Learning · Mathematical Modelling · Machine Learning
Networking · Computer Systems · Internet of Things
A comprehensive list of engineering projects, machine learning systems, and research platforms I've developed.
projects · machine-learning · software-engineering · healthtech
An unofficial collection of editorials for the 2nd AICC competition with solutions by me
algorithms · competitive ai
A collection of all the resources I'm using, sorted by fields, for personal use only.
resources · personal · study · learning · self-improvement
Open for machine learning research collaborations, software engineering roles, and AI Olympiad mentorship.
I offer mentorship for aspiring programmers, machine learning enthusiast or just someone breaking into AI. Whether you're just starting or looking to improve your skills, I can help guide your learning journey.
Inquire about Mentorship