Festus Osayamwen
About Festus Osayamwen
Festus Osayamwen is an Information Technology Specialist at TELUS in Burnaby, British Columbia, Canada, with extensive experience in machine learning, IT analysis, and lecturing.
Current Role at TELUS
Festus Osayamwen is currently working at TELUS as an Information Technology Specialist in Burnaby, British Columbia, Canada. In this role, he is responsible for various IT functions and initiatives aimed at supporting and enhancing the technological infrastructure of the company.
University of British Columbia IT Analyst
In 2019, Festus Osayamwen worked as an IT Analyst on a contract basis at the University of British Columbia in Vancouver, Canada. During his three-month tenure, he was involved in various IT-related tasks and projects that contributed to the university's operational efficiency.
Machine Learning Researcher at University of KwaZulu-Natal
From 2013 to 2018, Festus Osayamwen served as a Machine Learning Researcher at the University of KwaZulu-Natal in South Africa. His role involved conducting artificial intelligence research, with a focus on designing and implementing machine learning algorithms. This position allowed him to accumulate over five years of research experience in the field of AI.
Education and Qualifications
Festus Osayamwen has an extensive educational background. He studied Network Enterprise Design and Windows Server 2012 at the British Columbia Institute of Technology, achieving the title of Machine Learning/IT Specialist. He earned a PhD in Computer Engineering from the University of KwaZulu-Natal (2013-2018). He also holds an MSc in Computer Systems Engineering from the University of East London (2008-2009), and a B.Eng in Computer Engineering from the University of Benin (1998-2005).
Consulting and Technical Expertise
Festus Osayamwen has provided consulting services for the upgrade and refresh of approximately 9500 BC Hydro machines. He has built backup servers for USMT and WIM files, and has supported software installation for newly upgraded Windows 10 machines. His technical expertise extends to network administrative tasks and machine learning algorithm design.