Muhammed Safa
About Muhammed Safa
Muhammed Safa is a Senior Machine Learning Software Developer at Borealis AI, where he has worked since 2021. He has a background in electrical engineering and has held various roles in software development and engineering since 2011.
Work at Borealis AI
Muhammed Safa has been employed at Borealis AI since 2021, currently holding the position of Senior Machine Learning Software Developer. His role involves advanced machine learning projects and contributing to the development of AI solutions. Prior to his current position, he worked as a Machine Learning Software Developer at Borealis AI from 2020 to 2021. During this time, he gained experience in machine learning applications and collaborated with teams to enhance AI capabilities.
Previous Experience in Software Development
Before joining Borealis AI, Muhammed Safa worked at Current, powered by GE, as a Lead Software Developer from 2014 to 2020. In this role, he led software development initiatives and managed project teams. His career at GE began with a Design Engineering Intern position from 2011 to 2012, followed by a role as an Electrical Engineer in the Electrical Engineering Development Program (EEDP) from 2012 to 2014. This diverse experience provided him with a strong foundation in software and electrical engineering.
Education and Expertise
Muhammed Safa earned a Bachelor of Engineering (BEng) degree in Electrical Engineering from McGill University, where he studied from 2009 to 2011. His educational background in electrical engineering complements his expertise in machine learning and software development, enabling him to work effectively in AI-driven environments.
Mentorship and Community Involvement
Muhammed Safa is actively involved in mentorship within the AI community. He serves as a mentor in the Let's SOLVE It mentorship program at Borealis AI, where he supports emerging talent in the field. Additionally, he participates in initiatives that help undergraduate students develop projects in artificial intelligence and machine learning, contributing to the growth of the next generation of AI professionals.