Ehsan Nazari
ML Researcher & CV Engineer | Generative Models · Transformer-Based Vision · Real-Time Perception
At Pacefactory, I build and deploy real-time perception systems for industrial environments: object detection, keypoint estimation, and segmentation from raw camera feeds, trained, evaluated, and running in production.
I hold a Master’s in Applied AI from the University of Ottawa (GPA: 10/10, Vector Scholarship recipient), where my research focused on generative models and adversarial attacks on face verification systems under Professors Branco and Jourdan.
On my own time I train generative models from scratch: diffusion, flow matching, and a model asking whether a canvas can grow indefinitely, one patch at a time. Earlier work covered representation, multimodal, and adversarial questions in face verification. A few Medium posts cover object detection internals.