
Research-oriented computer scientist and lecturer dedicated to advancing academic research and enhancing higher education. Expertise includes privacy-preserving artificial intelligence, with a specialized focus on natural language processing and large language models, particularly in machine unlearning, data privacy, and responsible AI. Proficient in developing innovative privacy-driven frameworks that facilitate efficient machine unlearning in LLMs, while committed to creating trustworthy and accountable AI systems. Strong advocate for integrating ethical considerations into technology to foster a more secure digital landscape.
Python
Influence Function-based Machine Unlearning for NLP: A Privacy-Preserving Framework to Forget Selective Data (Under Review at a Peer Reviewed Journal)
AWS Certified Cloud Practitioner, Amazon Web Services
Design Thinking for Innovation, University of Virginia
CS224: Natural Language Understanding, Stanford University
AWS Certified Cloud Practitioner, Amazon Web Services