Emrul Hasan

Background

About Emrul Hasan

I am a PhD candidate in Computer Science, specializing in Recommendation Systems, NLP, and Responsible AI. My research focuses on aspect-aware, multi-criteria recommendation systems, where I leverage NLP and deep learning techniques to improve both performance and explainability. I have published several papers in top-tier, peer-reviewed conferences and journals, including ACM Computing Surveys (ranked #1 out of 143 CS journals, with an impact factor of 23.8). This summer of 2025, I am working at Amazon as an Applied Scientist Intern, focusing on RAG agent evaluation. Prior to joining Amazon, I worked as a Machine Learning Technical Specialist at the Vector Institute in Toronto, where I contributed to the development of Retrieval-Augmented Generation (RAG) agents for several of Vector’s partner companies. Before that, I also served as an Applied Machine Learning Intern at the same institute, where I worked on news media bias detection as part of broader efforts toward Responsible AI. In that role, I applied LLMs and multimodal LLMs to annotate news articles and developed a novel dataset. Additionally, I fine-tuned multimodal LLMs (e.g, PaliGemma, Phi-2 Vision) to build benchmark models. I am driven by a commitment to innovation in AI and a dedication to continuous learning. I am open to connecting if you’re interested in discussing potential collaborations or opportunities in the fields of AI, ML, and NLP