Julián Salazar Vidal
About Julián Salazar Vidal
Julián Salazar Vidal is a Machine Learning Engineer with expertise in document retrieval and fraud detection software. He has worked at Inscribe since 2023 and has a strong educational background in Image Processing and Computer Vision.
Work at Inscribe
Julián Salazar Vidal has been employed at Inscribe as a Machine Learning Engineer since 2023. In this role, he focuses on developing advanced machine learning models, particularly in the area of document retrieval. His work integrates computer vision and natural language processing techniques to enhance the efficiency and accuracy of document handling processes.
Education and Expertise
Julián Salazar Vidal holds an Erasmus Mundus Joint Master Degree in Image Processing and Computer Vision, which he obtained from multiple institutions, including Universidad Autónoma de Madrid, Université de Bordeaux, and Pázmány Péter Katolikus Egyetem, between 2020 and 2022. He also earned a Bachelor's degree in Ingeniería electrónica from Universidad Nacional de Colombia, completing his studies from 2012 to 2017. His educational background provides a strong foundation in both theoretical and practical aspects of machine learning and software development.
Background
Before joining Inscribe, Julián Salazar Vidal gained diverse experience in software development and engineering roles. He worked as a Software Developer Engineer at Banco de Bogotá from 2018 to 2020, where he contributed to backend software improvements for fraud detection using Python and Django. His earlier roles included a position as a Software Development Engineer at Siscómputo Ltda. for six months in 2018 and as a Connectivity Administrator at Indra from 2016 to 2017.
Previous Experience
Julián Salazar Vidal's career includes a significant internship at Inscribe as a Software Engineer Intern in 2022, where he gained practical experience in machine learning applications. His work history also includes a two-year tenure at Banco de Bogotá, where he focused on software development for fraud detection. His varied roles across different companies have equipped him with a comprehensive skill set in software engineering and machine learning.