Production AI Engineer with 2+ years of end-to-end deployment across LLM systems and large-scale computer vision — shipped to Malaysian federal government clients, maritime intelligence platforms, and research institutions.
- 🎓 MSc Artificial Intelligence — University of Malaya (CGPA 3.73/4.00) | 🏅 Ranked #1 in Malaysia, QS Top 80 Globally (2025)
- 🚢 Built satellite CV pipelines covering 20,000+ global port locations (YOLOv8-OBB, 0.84 mAP, +15% over baseline)
- 🔍 Engineered a multimodal fraud detection system achieving 94.5% accuracy (F1: 0.92) — Late-Fusion Ensemble (CLIP + Sentence Transformers + EasyOCR)
- 📰 Architected a live news intelligence pipeline ingesting 467 sources/day for a federal government client on AWS
- 🤖 Dual specialisation: Generative AI (RAG, LangGraph, agentic systems) + Computer Vision (YOLOv8, satellite imagery, object tracking)
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Production-grade CV system deployed across 20,000+ global ports. Covers the full ML pipeline from satellite image ingestion to production inference on AWS.
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Vessel detection system built on top of the maritime ML pipeline, focusing on precise oriented bounding box detection from satellite and aerial feeds.
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Production RAG chatbot with rigorous RAGAS evaluation framework integration — faithfulness, answer relevancy, context precision, and recall metrics baked in.
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Chatbot system with agentic reasoning capabilities, designed for real-world deployment with memory, tool use, and structured output.
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Chatbot built from core NLP components — intent classification, entity recognition, and dialogue management — demonstrating deep understanding of language pipeline architecture.
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Node.js middleware bridging Dialogflow conversational agents with enterprise ERP systems — production-ready API translation layer.
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Deep learning classification of brain tumour MRI scans — multi-class tumour type identification with explainability.
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Automated detection of pulmonary conditions from chest X-ray images — mimicking radiologist-level screening.
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Core architecture from the MSc thesis — Late-Fusion Ensemble for detecting travel ad scams targeting Umrah/Hajj pilgrims.
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Object detection for mango crop assessment — real-world agricultural CV applied to fruit detection and yield estimation.
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Real-time face recognition system with identity verification — demonstrating multi-stage CV pipelines (detection → embedding → classification).
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Pose estimation system for real-time push-up form analysis and automated repetition counting — applied human pose CV.
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Computer vision-powered retail system — inspired by Amazon Go. Extends the YOLOv8 + DeepSORT cashierless POC with a 2,500-image custom dataset achieving 97% real-time tracking accuracy.
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Abstractive + extractive text summarisation pipeline — demonstrates transformer-based NLP for long document compression.
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Personal portfolio web app built with Next.js + Tailwind CSS — showcasing AI engineering work, projects, and professional profile.
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MSc in Artificial Intelligence — University of Malaya (2024–2025)
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BSc in Computer Science (Maritime Informatics) — UMT
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