I'm a Staff Machine Learning and Computer Vision expert with a PhD in Urban Scene Understanding and over 10 years of experience, currently focusing on object detection and classification from videos using Transformers and CNNs. With a background spanning academia, industry, and startup advising, I specialize 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.
My expertise includes object detection, scene analysis, tracking, embeddings, visual image search, and optimizing inference pipelines for real-time and computationally cheap applications. I have extensive experience leading AI projects, mentoring teams, and collaborating with industry partners to bridge the gap between research and production.
Technologies: Python, PyTorch, TensorFlow, OpenCV, YOLO, Transformer models, Multi-GPU training, Azure ML, Docker, NLP, 3D Vision, Non-Destructive Testing, OCR, and AI-driven analytics.
Contact: kujtim.rahmani@gmail.com