Matthias Ramos
About Matthias Ramos
Matthias Ramos is an NLP Machine Learning Engineer with a focus on Natural Language Processing and Artificial Intelligence. He has worked at Airudi Inc. since 2021 and has previous experience in software development and DevOps internships.
Current Role at Airudi Inc.
Matthias Ramos serves as an NLP Machine Learning Engineer at Airudi Inc. since 2021. In this role, he focuses on developing and implementing natural language processing solutions, leveraging his expertise in machine learning. His work contributes to advancing the company's capabilities in artificial intelligence and data science.
Previous Experience in Machine Learning and Software Development
Prior to his current position, Matthias held various roles that enhanced his technical skills. He worked as an NLP Machine Learning Engineer Intern at Airudi Inc. for three months in 2021. Additionally, he served as a Software Development Engineer at Aube Potager from 2018 to 2019, where he gained valuable experience in software engineering practices.
Education and Expertise in Artificial Intelligence
Matthias Ramos has a solid educational background in artificial intelligence and computer science. He studied at Seoul National University, focusing on artificial intelligence from 2018 to 2019. He also attended École des Mines de Saint-Étienne, where he studied computer science from 2017 to 2020. Furthermore, he achieved a double master's degree in artificial intelligence at Polytechnique Montréal from 2019 to 2021.
Internship Experience at Optimum Assurance Vie
In 2019, Matthias completed a two-month internship as a DevOps Intern at Optimum Assurance Vie in Montréal, Canada. This experience provided him with insights into DevOps practices and further developed his technical skills in a professional environment.
International Academic Experience
Matthias has gained experience working in both Canadian and international academic institutions. This exposure has contributed to his global perspective in artificial intelligence, enriching his understanding of diverse approaches and methodologies in the field.