I am an ambitious and accomplished Master's graduate in Electronic Digital System from IUST, driven by a strong passion for computer vision. My expertise lies in tackling complex challenges, particularly in the areas of facial expression recognition and affective computing.Throughout my academic journey, I fully immersed myself in the realm of computer vision, harnessing my skills in Python, TensorFlow, and deep learning methodologies. As a self-motivated individual, I seized the opportunity to explore and develop innovative solutions, resulting in promising outcomes. Notably, my research on facial expression recognition has been documented in a journal paper that is currently undergoing review.Beyond my proficiency in computer vision, I possess extensive hands-on experience in HDL coding and analysis, specifically within Xilinx Vivado. Over a span of three years, I successfully implemented algorithms such as the Discrete Cosine Transform (DCT) and JPEG compression, capitalizing on the capabilities of FPGA technology. This practical involvement has significantly enhanced my understanding of hardware design and optimization.