Meet the Founder & CEO
Khawar Maqsood
Owner & Chief Executive Officer, MrTechLogix
Computer Science Professional | AI & Data Science Researcher | PhD Scholar | Lecturer | Technology & IT Specialist
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About Khawar Maqsood
Khawar Maqsood is the owner and CEO of MrTechLogix and a Computer Science professional with a strong interest in Artificial Intelligence, Machine Learning, Data Science, Natural Language Processing, Computer Vision and emerging intelligent systems. His professional experience combines higher education, teaching, academic research, IT support, web development, SEO, digital solutions and technology operations. He is currently pursuing doctoral research in Computer Science, with a research focus on multimodal reinforcement learning and intelligent decision-support systems. Through MrTechLogix he brings this research discipline into practical client work — building reliable, scalable and meaningful technology solutions.
Focus Areas
- Software Architecture
- Artificial Intelligence
- Machine Learning
- Data Science
- Research
- WordPress
- SEO
- IT Operations
Professional Profile
Academic
- PhD Scholar in Computer Science
- International Islamic University Islamabad (IIUI)
- AI and Machine Learning research
- Academic teaching and supervision
- Curriculum and course development
Research
- Artificial Intelligence
- Machine Learning
- Reinforcement Learning
- Multimodal AI
- Natural Language Processing
- Computer Vision
- Medical AI
- Continual Learning
- Federated Learning
Technology
- Python
- PyTorch
- TensorFlow
- Hugging Face Transformers
- Scikit-learn
- MONAI
- WordPress
- Elementor
- SEO
- Power BI
- Data Analysis
Professional
- IT Support
- Device Management
- MDM
- WordPress Development
- Digital Marketing
- SEO
- Technical Support
- Technology Operations
Education
PhD — Computer Science
International Islamic University Islamabad (IIUI) | 2023 – Present
Focus: Artificial Intelligence, Machine Learning, Multimodal Reinforcement Learning and intelligent decision-support systems.
MS — Computer Science
Quaid-i-Azam University | 2019 – 2022 | GPA: 3.4 / 4.0
Research/thesis area included Natural Language Processing and sentiment analysis.
Additional Academic Background
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Online Profiles
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