Keivin Isufaj is a Software Engineer whose work spans trajectory data analysis, bioinformatics, and computer vision, including projects on oral lesion detection and segmentation, 3D object detection, and depth estimation. He contributed to the Fanar project, focusing on developing image generation models that are culturally aligned and aware. His current research explores optimization techniques for faster inference and smaller memory footprints in deep learning and generative models.

- Computer Vision

- Optimization techniques for model training

B.Sc. in Computer Science, Minor in Mathematical Sciences — Carnegie Mellon University