Mudasir Hussain

I am Mudasir Hussain, a seasoned Software Engineer and dedicated Lecturer with a profound background in Information Science and Technology from Quaid-e-Azam University, Islamabad. Specializing in deep learning and CNN classification methods, I have effectively applied my expertise in Python and frameworks like PyTorch and TensorFlow to develop innovative solutions, particularly in agricultural technology through groundbreaking disease classification models.

Currently, I serve at OmanCloud, focusing on developing robust web applications using the CodeIgniter framework and enhancing database functionalities, aimed at optimizing system performance and user engagement. My prior roles as a Full Stack Web Developer at Hypertext Solutions and Getranked allowed me to refine my skills in JavaScript, SQL, HTML, and PHP, leading to dynamic and scalable software solutions.

As a Lecturer at Govt Polytechnic Institute Parachinar, I have led curriculum development initiatives that align educational content with industry standards, thereby enhancing student employability and forging meaningful industry partnerships. My commitment to academic excellence has been recognized with multiple teaching awards, highlighting my ability to bridge the gap between theoretical knowledge and practical application. Fluent in English, Urdu, Hindi, and Pashto, I am well-equipped to communicate and collaborate effectively in diverse environments.

I am a seasoned software engineer and educator with extensive experience spanning both academia and industry. Holding a Master's degree in Information Science and Technology, my academic journey has been marked by a profound focus on deep learning and computer vision, specifically using CNNs for image processing tasks like plant disease classification. My technical skills are further strengthened by hands-on expertise in programming languages and frameworks including Python, PyTorch, TensorFlow, JavaScript, SQL, HTML, and PHP.

Professionally, I have developed robust web applications and managed full-stack development projects at companies such as OmanCloud and Hypertext Solutions, where I significantly improved system efficiencies and user engagement. In academia, as a Lecturer at Govt Polytechnic Institute Parachinar, I revamped curricula to align with contemporary industry demands, significantly enhancing student employability through practical training and industry partnerships.

My career is highlighted by a commitment to leveraging technology to solve practical problems and educating the next generation of tech professionals, making me a unique blend of practitioner and pedagogue in the rapidly evolving tech landscape.

I hold a Master of Science in Information Science and Technology (MSIST) from Quaid-e-Azam University, Islamabad, where I specialized in deep learning and convolutional neural networks (CNNs) for image processing. My thesis focused on developing a framework for classifying plant diseases from leaf images using advanced tools such as Matlab, PyTorch, TensorFlow, and NumPy. This project not only honed my technical skills but also contributed significantly to agricultural technology, demonstrating the practical applications of my research.

Additionally, I earned a Bachelor of Science in Computer Science (BSCS) with Honors from the Virtual University of Pakistan. My undergraduate project involved developing a comprehensive data warehouse designed to support business intelligence functions, enhancing data storage, retrieval, and analysis capabilities. This experience laid a strong foundation in database systems and reinforced my proficiency in SQL and database management, essential for my subsequent roles in software development and academic teaching.