I am Momina Qureshi, a Junior Lab Engineer in the Department of Artificial Intelligence at the National University of Technology (NUTECH), Islamabad, while also currently pursuing my Master’s in Artificial Intelligence from FAST-NUCES. With a strong academic background in Computer Science and hands-on experience in AI, Machine Learning, Computer Vision, and Virtual Reality, I bring practical expertise to both the lab environment and ongoing research endeavors. My primary research interests include Artificial Intelligence, Deep Learning, Computer Vision, MLOps, and Natural Language Processing, with a focus on solving complex, real-world challenges.
Junior Lab Engineer (AI Department)
National University of Technology (NUTECH), Islamabad | December 1, 2025 – Present
• Support AI lab activities and assist students with practical coursework in Machine Learning and Deep Learning
• Contribute to AI research initiatives and lab development within the department
• Provide technical guidance on tools, including Python, TensorFlow, PyTorch, and MLOps frameworks
Machine Learning Intern (Remote)
Developers Hub Corporation | March 1, 2025 – April 11, 2025
• Worked on machine learning model development and data pipeline tasks
• Gained hands-on experience in real-world ML workflows and industry practices
Artificial Intelligence Intern (Remote)
Itsolera | August 24, 2024 – September 24, 2024
• Contributed to AI-driven projects and solutions during a remote internship
• Applied deep learning and computer vision techniques to practical tasks
Game Designer Intern (Remote)
M-Labs | June 7, 2024 – August 12, 2024
• Designed game environments and interactive experiences using Unity 3D and Oculus VR
• Collaborated on virtual reality game design and development projects
Object Oriented Programming, Advance Database Management Systems, Data Mining
My research focuses on the application of Artificial Intelligence and Deep Learning to solve real-world problems, with particular emphasis on Computer Vision, MLOps, and Natural Language Processing. I have explored AI-driven solutions across diverse domains, including Image Quality Assessment, Gen AI, Virtual Reality, cloud-based machine learning pipelines, and medical imaging and object detection systems. My work aims to develop scalable, interpretable, and practically deployable AI models.
Research Interests:
• Image Quality Assessment and Gen AI
• Artificial Intelligence and Machine Learning
• Deep Learning and Computer Vision
• Natural Language Processing (NLP)
• MLOps and Cloud-based Machine Learning Pipelines
• Virtual Reality and Immersive Technologies
