About

I am a Computer Science student and researcher focused on the theoretical foundations and practical applications of artificial intelligence. My work spans from training large-scale neural networks to deploying efficient models in resource-constrained environments.

Currently pursuing my Bachelor of Science in Computer Science and Engineering at University of Liberal Arts Bangladesh, I have developed expertise in deep learning architectures, natural language processing, and computer vision systems. My research has resulted in three peer-reviewed publications and one accepted paper (iCACCESS 2026) in international conferences, addressing critical challenges in healthcare AI, assistive technology, smart city infrastructure, and educational AI.

My current research focuses on Multi-Agent Reinforcement Learning and Agentic RAG. I am particularly interested in how multiple agents learn to coordinate under partial observability, and in LLM agents that plan their retrieval, use tools, and verify evidence before answering, building on my earlier work on retrieval-augmented generation and large language models.