Teaches Design and Prototyping of Machine Learning and Neural Networks
Jonatan Poveda is a Full Stack Developer specialising in computer vision and machine learning. He has extensive experience developing AI driven systems for real world applications, having worked as a developer at Gestoos and Preact Technologies. His expertise focuses on applying advanced artificial intelligence techniques, particularly computer vision, to interactive and scalable digital products.
Jonatan works on the design and development of AI systems that bridge research and implementation. His practice combines software engineering, data driven modelling and rapid prototyping to transform machine learning concepts into functional products. As an entrepreneur and technologist, he focuses on building robust solutions that connect technical performance with meaningful user interaction.
“When teaching machine learning and neural networks, I focus on helping students move from theory to implementation. Understanding how models work is essential, but learning how to prototype, test and iterate is what turns AI into real, usable systems.”
