Doctor of Philosophy in Information Technology
Universiti Teknologi PETRONAS
Thesis: Novel Metaheuristic Optimization Algorithm
Honors: Graduated with Distinction
Background, research focus, and academic profile.
AI Researcher and Developer with 5+ years of experience advancing computer vision, natural language processing, and predictive modeling across healthcare, energy, and environmental domains. Skilled in designing and deploying deep learning models (CNNs, YOLO, UNet, Transformers) and modern AI workflows, including Generative AI, LLM fine-tuning, and MLOps pipelines. Proven track record of bridging academic research with real-world applications, with 15+ peer-reviewed publications, 1,000+ citations, and collaborations with industry partners. Adept at delivering scalable AI solutions, integrating cloud-based architectures (AWS, Azure), and contributing to responsible, interpretable, and high-impact AI innovations.
Publications
25
Citations
1,650
h-index
14
i10-index
16
Key areas of expertise and research focus.
Core competencies, tools, and technologies across the stack.
Academic milestones, research training, and the foundation behind the portfolio.
Universiti Teknologi PETRONAS
Thesis: Novel Metaheuristic Optimization Algorithm
Honors: Graduated with Distinction
Universiti Teknologi PETRONAS
Thesis: An Ensemble One-Dimensional CNN with Bayesian Exponential Adaptive Gradients for Sound Classification
Universiti Teknologi PETRONAS
Major: Software Engineering
Note: Interactive Dashboard for AI Model Prediction, enabling real-time visualization
Roles, execution, and measurable contributions across previous positions.
Universiti Teknologi PETRONAS
Key Contributions:
Onyx Engineering Sdn Bhd
Key Contributions:
I'm always open to discussing research opportunities, collaborations, or consulting projects in AI, Machine Learning, and Computer Vision.