Mark Garvey

Mark Garvey

Machine Learning Engineer @ Motorway

About Mark Garvey

Mark Garvey is a Machine Learning Engineer with a background in Electronic and Computer Engineering and Artificial Intelligence. He has worked for notable companies including Motorway, General Motors, and Jaguar Land Rover, and has a strong focus on data communication and analytics.

Work at Motorway

Mark Garvey currently serves as a Machine Learning Engineer at Motorway, a position he has held since 2022. His role involves applying machine learning techniques to enhance operational efficiency and improve data-driven decision-making processes. Based in London, England, he contributes to the development of innovative solutions that leverage data analytics.

Education and Expertise

Mark Garvey earned a Bachelor of Engineering (B.E.) in Electronic and Computer Engineering from the University of Galway, completing his studies from 2015 to 2019. He furthered his education at the University of Limerick, obtaining a Master of Science (M.S.) in Artificial Intelligence from 2020 to 2022. Additionally, he holds a Certificate in Artificial Intelligence from the same institution, achieved in 2021. Mark also completed a Diploma in Arts (French) at the University of Galway between 2015 and 2017.

Professional Background

Mark Garvey has a diverse professional background in machine learning and engineering. He worked as a Machine Learning Engineer at Jaguar Land Rover from 2019 to 2022, where he gained significant experience in the automotive sector. Prior to this, he served as a Functional Safety Engineering Intern at Jaguar Land Rover in 2018. He briefly worked as an ML Software Engineer at General Motors in 2022 and held the position of Head of Sponsorship at EntreSoc (NUI Galway Entrepreneurship Society) from 2017 to 2018.

Technical Skills

Mark Garvey possesses strong technical skills in machine learning and data science. He is experienced in using Docker and Kubernetes for operations-focused work, which enhances the deployment and management of applications. Mark utilizes the PyData stack for data science and analytics tasks, allowing him to effectively analyze and derive insights from complex datasets. He emphasizes the importance of communicating these insights to stakeholders.

Early Career Experience

Mark's early career includes various roles that contributed to his professional development. He worked as a Barman at Radisson Blu in Galway for one month in 2015 and gained work experience at Medtronic Vascular in 2013. His educational journey also included studies at Yeats College Galway and Glenamaddy Community School, where he completed his secondary education.

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