Summary

Dynamic and results-oriented Computer Science graduated with a strong academic foundation, earned distinction in BSCS from the University of Sargodha and a Gold Medal in MPhil in Computer Science from Quaid-i-Azam University, Islamabad. Proficient in full-stack and Android app development, with a portfolio of over 30 completed projects. Skilled in a variety of web technologies, including HTML, CSS, JavaScript, Bootstrap, Django, Flask, and PHP, as well as Python for AI, and  Java, Kotlin for Android development.
Demonstrated research expertise in advanced areas such as federated machine learning, deep neural networks, and blockchain applications. Key contributions include the development of COVID-19 prediction models, facial emotion detection systems, and improvements in vehicular network security. Conducted significant research under the title "UAVs and Blockchain Synergy: Enabling Secure Reputation-Based Federated Machine Learning in Smart Cities," which focuses on integrating UAVs and blockchain technology through edge-aided federated machine learning to enhance security and efficiency in smart city environments.
Additionally, contributed to academic institutions by teaching and assisting in computer science courses at Quaid-i-Azam University Islamabad and SZABIST University Islamabad. Aiming to apply a combination of technical skills and research experience in a challenging role to develop innovative solutions and advance technological progress.