Ehsan Nazari
ML Researcher & CV Engineer | Perception · Generative Models · Adversarial Robustness
At Pacefactory, I build and deploy visual recognition systems for industrial environments — real-time object detection, keypoint estimation, and segmentation from raw camera feeds, with foundation-model-assisted annotation and lightweight pipelines for edge inference.
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 research visual understanding — how deep networks learn, represent, and generate visual content. Recent project. I also write about object detection internals on Medium.