Summary
Amable Cuervo is an AI engineer and PhD candidate with 11 years of software experience, blending hands-on model research and production engineering while subcontracted to Telefónica through Full On Net. He specializes in state-of-the-art AI—reading and implementing cutting-edge papers, designing novel models, and presenting both high-level and technical talks on AI, ethics and deployment. His background spans Python, Java, C#, JavaScript and embedded development, and he has built NLP, computer vision and real-time systems, as well as microservices on Docker/Kubernetes. Notable practical work includes integrating GPT-3 and DALL·E 2 into products and contributing to an award-winning electronic voting system. Based in Asturias, Spain, he pairs academic depth from UPM and Universidad de Oviedo with a persistent habit of publishing personal projects on GitHub.
11 years of coding experience
1 year of employment as a software developer
Ph.D on Artificial Intelligence, Artificial Intelligence, Computer Science, Ph.D on Artificial Intelligence, Artificial Intelligence, Computer Science at Universidad de Oviedo
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Universidad Politécnica de Madrid
Spanish, English