I’m a senior pursuing a Bachelor of Science in Computer Science at the University of Tehran, Iran, with a keen interest in the intersection of computer vision, natural language processing, and computational neuroscience. My journey in computer science has been driven by curiosity and a deep desire to solve challenging problems.

I am currently in my final year of undergraduate studies at the University of Tehran, where I’ve consistently been a top-performing student (Top 10). As I move forward, my goal is to delve deeper into multimodal signal processing and computational neuroscience. I’m actively seeking opportunities in graduate programs where I can continue my research in areas that integrate machine learning with computer vision and NLP.

Hands-On Expertise

Throughout my academic journey, I’ve gained hands-on experience in various research and development projects. Recently, I developed a CNN-Transformer model aimed at detecting Alzheimer’s patterns in EEG data. Working with deep learning models has given me a robust foundation in signal processing and computational neuroscience.

Additionally, I completed an internship as a backend developer at ZLAB, where I worked on AI-driven backend solutions. My work there focused on creating efficient systems using Django, Docker, and REST frameworks, which improved the processing speed by 30%.