Mikdad

About me

As a dedicated Computer Science and Engineering student, my focus lies in the rapidly advancing domains of Artificial Intelligence, Machine Learning, Data Science, and their real-world applications. I am particularly passionate about computer vision, deep learning optimization, reinforcement learning, and integrated security, areas in which I continue to expand my expertise through hands-on projects and academic exploration. With two research publications, including one in IEEE and another in Springer Nature, I strive to contribute meaningful insights to the scientific community while pushing the boundaries of intelligent systems.

Alongside my research interests, I actively work on diverse development projects that strengthen my problem-solving abilities and technical versatility. From building interactive applications like a full-stack Tic Tac Toe game to developing comprehensive systems such as the Bracu Knowledge Nexus, I enjoy transforming complex ideas into impactful, user-centered solutions. Driven by curiosity, innovation, and continuous learning, my goal is to create technologies that not only address real-world challenges but also inspire new possibilities in the evolving landscape of AI and software engineering.