Principal Computer Vision Engineer

Kujtim Rahmani is a Staff Machine Learning and Computer Vision expert with a PhD in Urban Scene Understanding and over 10 years of experience. They currently focus on object detection and classification from videos using Transformers and CNNs. Their background spans academia, industry, and startup advising, specializing in designing AI architectures for smart cities and outdoor scenes, autonomous systems, large-scale visual perception tasks, as well as applications in artworks and collectibles and building AI algorithms for non-destructive testing. Their expertise includes object detection, scene analysis, tracking, embeddings, visual image search, and optimizing inference pipelines for real-time and computationally cheap applications. They have extensive experience leading AI projects, mentoring teams, and collaborating with industry partners to bridge the gap between research and production.