Ákos Jakub is a deep learning engineer and technical lead focused on building practical AI systems that solve real problems. With a background in NLP and high-performance computing, he has worked on scalable machine learning services and contributed to AI tools across different domains. As CTO at Quino and Minyma Technologies, he’s involved in both hands-on development and guiding teams through complex engineering challenges. Ákos values clear thinking, well-structured systems, and an iterative approach to building products that are actually useful. He’s especially interested in the intersection of machine learning, infrastructure, and user-centered design.