Daniel Toberman

Background

About Daniel Toberman

I’m a Senior Algorithms Engineer specializing in Computer Vision, Deep Learning, and Signal Processing, with experience turning complex data into real-time, scalable AI solutions. My expertise spans CNNs, Transformers, Generative AI, and multimodal fusion pipelines, combining visual, physiological, and sensor data to unlock new capabilities in edge and cloud environments. I’m highly skilled in Python, MATLAB, PyTorch, TensorFlow, scikit-learn, OpenCV, and advanced signal processing libraries. I’ve deployed AI models on edge devices with strict resource constraints and integrated them into embedded systems and cloud-based platforms, bridging the gap between cutting-edge research and production-ready solutions. What drives me is creating impactful AI, from optimizing deep learning models for real-time performance to exploring Generative AI and hybrid approaches that fuse classical algorithms with modern neural architectures.