I am Malik Attiq
A Computer Science graduate from Federal Urdu University of Arts, Sciences & Technology, completing my degree in 2023. My passion lies in Artificial Intelligence and its applications in solving real-world problems. Throughout my academic journey, I've developed a strong foundation in computer science fundamentals, programming, and machine learning concepts. I'm particularly interested in areas like deep learning, natural language processing, and computer vision, and I'm eager to contribute to innovative AI solutions that can make a positive impact.
AI Enthusiast
I
Build
Projects
I have built various AI projects to build and learn about artificial intelligence and its applications. My hands-on experience includes developing computer vision systems, natural language processing applications, and implementing AI solutions for medical imaging and biological data analysis. These projects have helped me gain practical experience while contributing to meaningful real-world applications.
Transforming Ideas into Innovative Solutions Through AI and Software Development
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AI In Medicine
I developed an advanced medical imaging system using U-Net architecture for precise tumor detection
and segmentation. The AI model achieves high accuracy in identifying various types of tumors and
abnormalities in medical scans. I implemented deep learning techniques for analyzing X-rays, MRI
scans, and other medical imaging data. The system assists medical professionals in early disease
detection and diagnosis through automated image analysis. I also developed models for medical report
generation and patient data analysis using machine learning approaches.
Natural Language Processing
I developed advanced Natural Language Processing (NLP) models and applications using cutting-edge techniques. My work includes building sentiment analysis models to understand text emotions, implementing transformer architectures for language understanding, and creating emotion detection systems. I utilized deep learning frameworks to develop models for text classification, named entity recognition, and question-answering systems. The projects demonstrate practical applications in social media analysis, customer feedback processing, and automated text understanding. I also implemented custom preprocessing pipelines and fine-tuning approaches to optimize model performance.
Computer Vision
I developed a computer vision system that performs real-time object detection and tracking using deep learning models. The system can identify and classify multiple objects simultaneously with high accuracy. It incorporates advanced techniques like convolutional neural networks (CNNs) and YOLO architecture. The project demonstrates practical applications in surveillance, autonomous vehicles, and industrial automation. I implemented custom post-processing algorithms to improve detection reliability and reduce false positives.
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Pakistan, Islamabad...
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