I am a French dual-degree student in Computer Science at Concordia University in Canada and Aerospace Engineering at IPSA Toulouse in France. My passion lies in machine learning, deep learning, and artificial intelligence.

My aerospace engineering background has equipped me with a solid foundation in mathematics, data analysis, and complex problem-solving, while my studies in computer science are expanding my expertise in modern AI systems.

I am currently working on a thesis in AI under the supervision of Dr. Ali Ayub, with a focus on how intelligent systems can adapt to individual users, reason under uncertainty, and decide when not to act. My recent work studies personalized object rearrangement, abstention-aware decision making, and efficient combinations of lightweight learning models with selective LLM assistance.

I am driven by a desire to tackle real-world challenges and collaborate on innovative projects in the fields of AI, robotics, and data science. Whether through research, coursework, or self-guided projects, I seek to build systems that are practical, reliable, and aware of the limits of their own predictions.

I am fully engaged in my thesis but remain open to opportunities to work on meaningful projects where I can apply and grow my skills in AI and beyond. My long-term goal is to contribute to intelligent systems that can support people in complex environments, including applications connected to robotics, aerospace, and space exploration.