Diego Téllez Barrero
About Diego Téllez Barrero
Diego Téllez Barrero is an AI Applications Engineer based in Copenhagen, Denmark, currently working at LanguageWire. He has a diverse background in software engineering, having previously held roles at Teletrabajo.app and Bernhard Schulte GmbH & Co. KG, and has completed multiple degrees in computer science and engineering.
Work at LanguageWire
Diego Téllez Barrero currently works as an AI Applications Engineer at LanguageWire, a position he has held since 2024. He operates remotely from Copenhagen, Denmark. In this role, he is responsible for optimizing application performance to ensure scalability and security for both internal and external users. He contributes to the development of advanced Natural Language Processing (NLP) AI applications as part of the Machine Learning Products & APIs Team.
Education and Expertise
Diego has a diverse educational background in computer science and engineering. He studied at freeCodeCamp, where he focused on software development from 2020 to 2022. He also earned a Professional Certificate in Tiny Machine Learning from Harvard University in 2023. Additionally, he studied Computer Software Engineering at VIU - Universidad Internacional de Valencia and obtained an Associate's degree in Development of Computer Applications from IES Ramón del Valle Inclán. His studies in Nautical Engineering were completed at Universidad de La Laguna and Universidad de Cantabria.
Background
Diego Téllez Barrero has a varied professional background, having worked in multiple roles across different organizations. He was the Founder and Software Engineer at Teletrabajo.app from 2023 to 2024. Prior to this, he held positions such as Chief Officer at Bernhard Schulte GmbH & Co. KG and Full Stack Development Teacher at NEOLAND. His experience also includes roles as a Full Stack Engineer at Stuart and a Junior Solutions Architect, showcasing his versatility in software engineering.
Achievements
Throughout his career, Diego has focused on enhancing code quality and implementing best practices to improve maintainability and efficiency. His aim is to push the boundaries of AI technology, particularly in machine learning and software engineering. He has contributed significantly to the development of cutting-edge NLP AI applications at LanguageWire, reflecting his commitment to innovation in the field.