I am a Senior Researcher and Engineer at Qualcomm developing efficient computer vision/machine learning algorithms. My current work is mainly in the area of image and video processing/understanding and generative models (vision and language).

Before joining Qualcomm, I was a postdoctoral researcher at Northeastern University working with Prof. Jennifer Dy, Prof. Octavia Camps and Prof. Dana H Brooks. I completed my PhD in Computing and Information Sciences from Rochester Institute of Technology under advisement of Prof. Linwei Wang.

Research and Engineering
What I find exciting and truly satisfying working in AI and machine learning is the richness and diversity of ideas. Ideas from different fields like mathematics, Physics, economics, computer science, statistics, electrical engineering, control and neural network architecture engineering have crossed fields and found interesting adaptations in machine learning and vice versa. My current favorite is how Diffusion model can be simultaneously interpreted in different ways from different perspectives.

At Qualcomm, I am excited to work on computer vision algorithms and Generative AI vision and language models, with special focus on how to optimize these models so that they can be implemented on-device with resource constraints.