Md Raqibul Islam
Founding member at IqraX, a computer-vision and deep-learning engineer turning machine-learning research into real-world products, from object detection and tracking to quantum machine learning.
About Md Raqibul Islam
Md Raqibul Islam is a founding member of IqraX, where he works on the computer-vision and deep-learning systems behind the platform. He is a Research Assistant at the Center for Computational & Data Sciences (CCDS), the AI and data-science research lab at Independent University, Bangladesh, where his work spans deep learning, computer vision, object detection, and quantum machine learning.
He earned his Bachelor's in Computer Software Engineering from Universiti Teknologi Malaysia (UTM). During his studies he completed a computer-vision internship at Sena Traffic Systems in Kuala Lumpur, where he built real-time object-detection and tracking pipelines with YOLOv5, DeepSORT, and PyTorch, handling data annotation, CUDA-accelerated training, and model deployment.
At IqraX, he brings that research-engineering background to the perception and machine-learning layers of the platform, translating modern deep-learning techniques into reliable, production-ready systems for an AI operating system built for healthcare.
Focus areas
Experience
Founder
Dec 2025 – PresentComputer vision, deep learning, and machine-learning engineering for the AI operating system for healthcare.
Research Assistant
Aug 2025 – PresentFull-time research in deep learning and computer vision (object detection and tracking, model training, and quantum machine learning) at IUB's AI and data-science research lab.
Research Intern
Jan 2025 – Jul 2025Applied deep-learning and computer-vision research: building and evaluating object-detection and tracking models in PyTorch.
Computer Vision Intern
Oct 2022 – Feb 2023Built real-time object-detection and tracking pipelines with YOLOv5, DeepSORT and PyTorch, handling data annotation, CUDA-accelerated training, and model deployment for traffic-systems applications.
Education
Bachelor's, Computer Software Engineering
2023Preceded by the UTM Foundation programme (2017–2018).