I am a PMI Certified Professional in Managing AI (PMI-CPMAI™) and Certified AI Scientist (CAIS™) with over 8 years of experience in AI strategy, project management, and technical development. Currently serving as Head of AI Unit at King Khalid University and contributing to the Institutional Innovation Axis within the Tenth Section: Research and Innovation of the Government Digital Transformation Index, I specialize in managing AI initiatives, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Computer Vision, and Digital Transformation. My expertise spans from AI governance and strategy to hands-on development and deployment of enterprise AI solutions.
With deep expertise in modern AI technologies, I work extensively with LLMs, RAG systems, vector databases (like Pinecone, Weaviate, and Chroma), and vLLM for high-performance model serving. My research focuses on developing intelligent systems that combine the power of large language models with domain-specific knowledge through advanced retrieval mechanisms and vector similarity search.
I hold a Master of Engineering degree in Control and Automation using AI from Universiti Teknologi Malaysia and a Master of AI Engineering from IBM, both with distinction. My work has been recognized with multiple awards including the Digital Innovation Award from the Ministry of Communications and Information Technology of Saudi Arabia and the Best Master Research Award from IEEE Malaysia.
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Artificial Intelligence Engineer (Master Program) (4.0/4.0), 2020
IBM
MEng in Mechatronics, Robotics, and Automation Using AI (3.9/4.0), 2019
Universiti Teknologi Malaysia
BE in Mechatronics, Robotics, and Automation (3.6/4.0), 2018
Universiti Teknologi Malaysia
Python
ML & DL
Statistics
Research
Computer Vision
NLP
Drones
IoT
Arduino/Raspberry Pi
Cloud Computing
Communication
Public speaking
Creativity
Teamwork
Leadership
Time management
Senior Artificial Intelligence Engineer

Regression learning study for predicting water quality index from river parameters, comparing machine learning models and derived water quality rating features.

Deep learning approach for occluded face classification and person re-identification using MobileNetV2, GRU, and ResNet-based recognition.
PMI-CPMAI™ Certified | AI Project Management & Consulting | Digital Transformation Expert