MLOps at Early-stage Start-up

Daniel Montilla Navas, a mechanical engineer turned programmer, shares his experience working in startups and his current role at Correcto, an AI tool for text correction and generation in Spanish. He discusses the challenges of developing the product, including dealing with different dialects and constantly changing objectives. Montilla Navas highlights the importance of research and decision-making in a small team, as well as the need for caution when moving quickly in the development process. Finally, he emphasizes the importance of continuous learning in the ever-evolving field of AI.