I am currently pursuing a Thesis-Based Master’s degree in Computer Science at the Gina Cody School of Engineering and Computer Science at Concordia University, with an expected graduation in 2026. I completed the coursework component with a GPA of 3.94 and am now working on my research thesis under the supervision of Dr. Ali Ayub.
My thesis work focuses on personalized AI systems that can adapt from limited demonstrations and reason under uncertainty. More specifically, I study personalized object rearrangement, where an assistant must learn a user’s preferences from a few examples, choose suitable placements for household objects, and abstain when an object should not be placed or when the available context is too uncertain. This connects continual learning, efficient personalization, uncertainty estimation, and LLM-assisted reasoning.
Throughout this program, I have had the opportunity to deepen my technical knowledge in artificial intelligence by completing advanced courses such as Machine Learning, Deep Learning, and Conversational AI, taught by leading experts in the field. I’ve been able to put this knowledge into practice in projects such as those showcased in the dedicated Projects section.
In addition to theoretical concepts, I have also focused on acquiring strong practical skills. This includes proficiency in Java programming, data structures, software engineering best practices, and unit testing, all essential for designing and building robust, efficient, and maintainable software systems.