About Me

I am a Computer Scientist and AI researcher with a strong foundation in machine learning, deep learning, and pattern recognition. I graduated as the top-ranked Computer Science student at the University of Guilan, and I currently work as a Research Assistant while pursuing advanced study in Artificial Intelligence.

My research centers on continual learning — building models that learn over time without forgetting. As first author, I led a systematic literature review on online continual learning (analyzing 2,000+ publications), currently under review at Neural Networks (Elsevier). I am extending this work into neuroimaging and network intrusion detection.

Alongside research, I bring hands-on engineering experience across Python, PyTorch, TensorFlow, FastAPI, and Docker, plus a deep teaching background as Head Teaching Assistant for AI, algorithms, and programming courses. I work best at the intersection of research and production — translating state-of-the-art methods into reliable, deployable systems for industry teams.