I have been involved in Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) since I began my PhD studies at the University of Waterloo, Canada, in 2002. After earning my degree in 2007, I have worked across both academia and industry, gaining a perspective that bridges theoretical foundations with real-world applications.
As an academic, I am passionate about teaching and mentoring the next generation of thinkers and innovators. My role allows me to collaborate with industry professionals, continuously learning and contributing to the development of AI-driven solutions.
My current research focuses on Large Language Models (LLMs) and Generative AI. I approach these models with both curiosity and caution, recognizing their immense potential while being mindful of their limitations and ethical challenges. This perspective strengthens my commitment to the responsible and thoughtful use of AI.
Over the years, I have contributed to research papers and presentations that connect theory with practice, aiming to advance our collective understanding of AI, ML, and NLP. Sharing knowledge is both a privilege and a responsibility, and I welcome discussions on AI's evolving impact on society.
My primary research areas include:
Large Language Models (LLMs)
Generative AI
Natural Language Processing (NLP)
Artificial Intelligence
Responsible AI
Machine Learning
Moral AI Agents
Applications of AI/ML/NLP in Legal and Financial Domains
Design and Analysis of Algorithms
For more details on my research and perspectives, I invite you to visit my website and join the conversation on the future of AI.
