Fred Jiordi Miramontes Arias
About Fred Jiordi Miramontes Arias
Fred Jiordi Miramontes Arias is a Parser Engineer at Scale AI, specializing in Technical QA since 2022. With over seven years of software development experience and a strong foundation in both front-end and back-end technologies, he is committed to advancing his skills in web development and machine learning.
Work at ScaleAI
Fred Jiordi Miramontes Arias has been employed at Scale AI as a Parser Engineer (Technical QA) since 2022. In this role, he focuses on ensuring the accuracy and efficiency of data parsing processes. His responsibilities involve working with various technologies to enhance the quality of data used in machine learning applications.
Previous Experience at Coderhouse
Prior to his current position, Fred worked as a Part-time Tutor at Coderhouse from 2022 to 2023. In this role, he contributed to the education of students in programming and technology, sharing his knowledge and expertise in software development.
Education and Expertise
Fred studied Computer Science Engineering at UVEG Guanajuato from 2020 to 2023, where he earned his degree. He also pursued studies in Computer Programming at Coderhouse and Bedu, enhancing his skills in specific applications of programming. His educational background supports his extensive experience in software development, particularly in Java and web technologies.
Technical Skills and Knowledge
Fred possesses a comprehensive understanding of both front-end and back-end technologies, including HTML, CSS, JavaScript, Node.js, and Python. He has over 7 years of experience in software development and is knowledgeable in databases and database management systems, particularly SQL. His experience in web scraping has equipped him with skills in data retrieval and processing.
Commitment to Continuous Learning
Fred is committed to staying current with advancements in web development technologies. He has pursued certifications in data science and is actively working towards becoming a full-stack web developer. He is particularly eager to expand his knowledge in machine learning and deep learning, recognizing their significance in the future of technology.