I am a Postdoctoral Researcher focused on Computer Vision, Artificial Intelligence, and Robotics.

My current research centers on pushing personalized AI to the edge. Specifically, I am exploring frameworks for Continuous Test-Time Adaptation (TTA) and In-Context Learning, moving away from observation-space wrappers and toward direct parameter-space adaptation.

Prior to returning to core research, I founded a startup focused on building interactive AI tools, which deeply informed my perspective on the limitations of centralized, static model deployment.