Computer Engineering graduate at UTeM building at the intersection of embedded systems, computer vision, and applied AI.
Currently open to graduate roles starting August 2026.
- 🎓 Thesis: PCB defect detection using YOLOv12 with CLAHE + bilateral filtering preprocessing
- 💼 Internship: ROHM Electronics Malaysia — IT infrastructure support & AI chatbot development
- 📍 Based in Petaling Jaya, Selangor — open to relocation
Reach me: Email · LinkedIn · Portfolio
Benchmarked YOLOv8n, YOLOv11n, and YOLOv12n for automated PCB defect detection, with an optimized CLAHE + bilateral filtering preprocessing pipeline.
Improved performance by +4.94% mAP@50 over the published YOLOv12n baseline.
Python Ultralytics YOLO OpenCV
Built a fully offline retrieval-augmented chatbot using local embeddings + vector search + open-weight LLM for privacy-first Q&A.
LangChain LlamaIndex ChromaDB Mistral
Developed a real-time air-quality monitoring system and used a Random Forest model to classify pollution levels from live sensor data.
ESP32 Raspberry Pi Arduino scikit-learn
| Category | Tools |
|---|---|
| Programming | Python, C/C++ |
| AI / ML | Ultralytics YOLO, scikit-learn, LangChain, LlamaIndex, ChromaDB, Mistral |
| Embedded & IoT | Raspberry Pi, Arduino, ESP32 |
| Networking & IT Infrastructure | PC hardware, network device setup, server maintenance |
- Improving model robustness for real-world computer vision deployment
- Building practical AI systems that run efficiently on limited hardware
- Expanding portfolio projects with better documentation and demos